cortex

Rust syslog receiver and MCP server for homelab log intelligence. Ingests syslog over UDP and TCP, stores it in SQLite with FTS5 full-text indexing, and exposes action-based log search, inventory, correlation, status, and analysis tools through MCP, REST, and CLI adapters backed by the shared service layer.

cortex also maintains derived projection tables for future investigation graph features. Those graph tables connect source IPs, claimed hosts, apps, services, containers, AI projects/sessions, and error signatures with evidence, but raw logs, heartbeats, inventory, signatures, and session rows remain the source of truth. The graph projection is rebuildable and intentionally has no ingest triggers. Graph rebuilds use staging tables plus a short serialized swap and record explicit projection status, source watermarks, row counts, runtime metrics, and degraded failure state.

Overview

                    ┌─────────────────────────────────┐
  rsyslog/syslog-ng ─▶  UDP :1514 / TCP :1514          │
  network devices   ─▶  ┌──────────────────────────┐   │
                    │   │  parse → batch writer     │   │
                    │   │  SQLite + FTS5 (WAL mode) │   │
                    │   └──────────────────────────┘   │
  Claude / MCP ◀──── ▶  RMCP HTTP :3100/mcp             │
  local MCP client ◀──▶  syslog mcp query process       │
                    └─────────────────────────────────┘

The daemon listens on a single port for both UDP and TCP syslog (default 1514). All inbound messages are parsed, batched, and written to SQLite with full-text indexing. The MCP HTTP server runs on a separate port (default 3100) and uses RMCP Streamable HTTP in stateless JSON-response mode. Local stdio-only MCP clients can launch cortex mcp, a query-only MCP process that reads the same SQLite database without starting syslog listeners or the HTTP server.

MCP is an exposure surface, not the owner of log-intelligence business policy. Shared defaults, limits, validation, audit identity, correlation behavior, and safety gates should live in SyslogService or service-owned operation models so MCP, REST, and CLI remain consistent.

Tools

One MCP tool, cortex, is exposed. Use the required action argument to run search, filter, tail, errors, hosts, map, sessions, search_sessions, abuse, abuse_incidents, abuse_investigate, ai_correlate, topic_correlate, usage_blocks, project_context, list_ai_tools, list_ai_projects, correlate, stats, status, apps, source_ips, timeline, patterns, context, get, ingest_rate, silent_hosts, clock_skew, anomalies, compare, compose_status, compose_doctor, unaddressed_errors, ack_error, unack_error, notifications_recent, notifications_test, llm_invocations, similar_incidents, ask_history, incident_context, graph, skill_events, skill_incidents, skill_investigate, mcp_events, mcp_incidents, mcp_investigate, hook_events, hook_incidents, hook_investigate, or help.

For the complete action-specific parameter reference, see docs/mcp/SCHEMA.md. For correlation behavior and AI/non-AI inclusion rules, see docs/mcp/CORRELATION.md.

Homelab Inventory

cortex ingest inventory refresh --json collects native Rust inventory into ~/.cortex/inventory and writes:

• normalized/homelab.json — typed cortex.homelab_inventory.v1 cache
• collection-state.json — per-collector status, warnings, timings, and artifact refs
• raw/<run_id>/*.txt — raw-but-redacted Compose and reverse proxy artifacts

cortex ingest inventory status --json reports cache freshness and warnings without opening SQLite. The MCP map action is read-only: it reads the normalized cache and overlays bounded live Cortex host/heartbeat data, but never triggers refresh or returns raw artifact bodies.

map defaults to the inventory snapshot. Graph-backed modes add a typed graph_answer envelope with answer_status, bounded topology rows, safe evidence samples, map follow-up queries, and graph proof queries:

{"action":"map","mode":"host_services","host":"squirts"}
{"action":"map","mode":"domain_routes","domain":"adguard.tootie.tv"}
{"action":"map","mode":"service_dependencies","host":"squirts","service":"swag"}
{"action":"map","mode":"findings","finding_types":["potential_public_route","risky_mounts","collector_health"]}

mode=findings returns bounded topology risk and hygiene findings derived from the graph plus normalized inventory/cache state. Findings include severity, confidence, reason code, affected entities, safe evidence IDs/excerpts, and remediation hints. They deliberately avoid raw config contents, raw artifact or cache paths, credential-bearing upstream URLs, and raw collector warning text; potential_public_route means configured reverse-proxy routing, not proof of unauthenticated public internet exposure.

When the server is running, inventory refresh also projects topology evidence into the investigation graph. The baseline refresh interval is 5 minutes, with local Compose/proxy config watchers as lower-latency refresh triggers. Remote Docker events streams over SSH are opt-in via CORTEX_INVENTORY_REMOTE_DOCKER_EVENTS=true.

On first run, before normalized/homelab.json exists, map and cortex ingest inventory status --json report cache_status: "missing". Run cortex ingest inventory refresh --json to seed ~/.cortex/inventory and clear that missing-cache state.

Prompts

The MCP server also exposes reusable prompts for common infrastructure debugging workflows: infra.incident-triage, infra.host-health, infra.service-outage, infra.security-auth-review, infra.noise-reduction, and infra.agent-change-correlation.

For the prompt catalog and argument reference, see docs/mcp/PROMPTS.md.

MCP Apps query widget

cortex ships one interactive UI surface as progressive enhancement: a simple log-search widget for MCP hosts that support MCP Apps / MCP-UI (_meta.ui.resourceUri). It is a single self-contained HTML resource — no browser build step, no external dependencies, no new server routes.

• Resource URI: ui://cortex/query-widget
• MIME type: text/html;profile=mcp-app
• The cortex tool advertises it via _meta.ui.resourceUri; the widget calls the same cortex tool with action=search over the host bridge and renders the rows in a compact table.
• It is a simple search UI, not a dashboard — query (FTS5) plus hostname, severity, and limit filters.

Non-UI hosts are unaffected. Plain MCP clients keep reading the normal text/JSON tool results; only hosts that detect _meta.ui.resourceUri fetch and render the ui:// resource.

Confirm the wire contract with raw JSON-RPC (no UI host required):

# Widget resource is listed
curl -s -X POST http://localhost:3100/mcp \
  -H "Content-Type: application/json" -H "Accept: application/json, text/event-stream" \
  -d '{"jsonrpc":"2.0","id":1,"method":"resources/list","params":{}}'

# Widget HTML is served with the MCP Apps MIME type
curl -s -X POST http://localhost:3100/mcp \
  -H "Content-Type: application/json" -H "Accept: application/json, text/event-stream" \
  -d '{"jsonrpc":"2.0","id":2,"method":"resources/read","params":{"uri":"ui://cortex/query-widget"}}'

# Search returns both structuredContent (for UI rows) and text (for plain clients)
curl -s -X POST http://localhost:3100/mcp \
  -H "Content-Type: application/json" -H "Accept: application/json, text/event-stream" \
  -d '{"jsonrpc":"2.0","id":3,"method":"tools/call","params":{"name":"cortex","arguments":{"action":"search","query":"error","limit":5}}}'

If CORTEX_TOKEN is set, add -H "Authorization: Bearer $CORTEX_TOKEN". scripts/smoke-test.sh runs these same checks automatically. For the wire-format details see docs/mcp/MCPUI.md.

cortex search

Full-text search across all syslog messages with optional filters. Uses SQLite FTS5 with porter stemming.

Parameters

Response

{
  "count": 3,
  "logs": [
    {
      "id": 12345,
      "timestamp": "2025-01-15T14:30:00Z",
      "hostname": "router",
      "facility": "kern",
      "severity": "err",
      "app_name": "kernel",
      "process_id": null,
      "message": "kernel panic: unable to mount root",
      "received_at": "2025-01-15T14:30:01.123Z",
      "source_ip": "10.0.0.1:51234"
    }
  ]
}

FTS5 examples

query: "kernel panic"           # implicit AND: both terms must appear
query: "OOM AND killer"        # explicit AND
query: "sshd OR pam"           # boolean OR
query: "failed NOT sudo"       # boolean NOT
query: '"connection refused"'  # exact phrase (bypasses stemming)
query: "error*"                # prefix wildcard
query: "restart*"              # matches restart, restarted, restarting

cortex filter

Structured filter-only retrieval for correlation workflows. This action rejects query; use search for FTS5 message-body search.

Common filters match search: host, source, severity, app, facility, exclude_facility, process_id, since, until, received_since, received_until, and limit.

Correlation aliases include source_kind (docker-stream, docker-event, agent-command, shell-history, transcript, claude, codex, gemini), plus tool, project, session_id, container, docker_host, stream, and event_action. source_kind=file-tail filters managed file-tail rows (source_ip prefix file-tail://).

cortex tail

Return the N most recent log entries. Equivalent to tail -f across all hosts.

Parameters

Response

Same structure as cortex search: { "count": N, "logs": [...] }.

cortex analysis errors

Summarize warnings and errors across all hosts in a time window. Groups by hostname and severity, showing counts. Use this for quick health assessments.

Parameters

Severities included: emerg, alert, crit, err, warning.

Response

{
  "summary": [
    { "hostname": "router",  "severity": "err",     "count": 42 },
    { "hostname": "router",  "severity": "warning",  "count": 17 },
    { "hostname": "storage", "severity": "crit",     "count":  3 }
  ]
}

cortex hosts

List all hosts that have sent syslog messages, with first/last seen timestamps and total log counts.

Parameters: none

Response

{
  "hosts": [
    {
      "hostname": "router",
      "first_seen": "2025-01-01T00:00:00.000Z",
      "last_seen":  "2025-01-15T14:30:00.000Z",
      "log_count":  18432
    }
  ]
}

cortex sessions

List AI transcript sessions grouped by project, tool, session, and host.

Parameters

Response

{
  "count": 1,
  "sessions": [
    {
      "project": "/home/jmagar/workspace/cortex",
      "tool": "codex",
      "session_id": "019e1506-dc81-7881-9926-4d6d4efda1ac",
      "hostname": "dookie",
      "first_seen": "2026-05-11T03:13:51.745Z",
      "last_seen": "2026-05-11T04:10:00.000Z",
      "event_count": 42
    }
  ]
}

cortex correlate events

Search for related events across multiple hosts within a ±N minute window around a reference timestamp. Useful for debugging cascading failures. Results are grouped by host and ordered by time.

Parameters

Response

{
  "reference_time": "2025-01-15T14:30:00Z",
  "window_minutes": 5,
  "window_from": "2025-01-15T14:25:00+00:00",
  "window_to":   "2025-01-15T14:35:00+00:00",
  "severity_min": "warning",
  "total_events": 12,
  "truncated": false,
  "hosts_count": 3,
  "hosts": [
    {
      "hostname": "router",
      "event_count": 7,
      "events": [...]
    }
  ]
}

Note on clock skew: cortex correlate events uses the timestamp field from the syslog message, which reflects the sending device's clock. If a device clock is skewed, events may fall outside the correlation window. See Time synchronization.

cortex stats

Return database statistics including total logs, total hosts, time range covered, logical and physical DB size, free disk, configured thresholds, current write-block status, and runtime ingest observability.

Parameters: none

Response

{
  "total_logs": 284917,
  "total_hosts": 12,
  "oldest_log": "2024-10-15T00:00:01Z",
  "newest_log": "2025-01-15T14:30:00Z",
  "logical_db_size_mb": "312.45",
  "physical_db_size_mb": "328.00",
  "free_disk_mb": "14200.00",
  "max_db_size_mb": 1024,
  "min_free_disk_mb": 0,
  "write_blocked": false,
  "runtime_observability": {
    "syslog_udp_packets_received": 280000,
    "syslog_tcp_connections_active": 3,
    "ingest_entries_enqueued": 284917,
    "ingest_queue_depth": 0,
    "ingest_queue_capacity": 10000,
    "ingest_queue_utilization_pct": "0.00",
    "writer_batches_flushed": 2850,
    "writer_logs_written": 284917,
    "writer_flush_failures": 0,
    "writer_logs_retained": 0,
    "writer_logs_discarded": 0,
    "writer_storage_blocked": false,
    "last_ingest_at": "2025-01-15T14:30:05.123Z",
    "last_write_at": "2025-01-15T14:30:05.400Z",
    "last_error_at": null
  },
  "otlp": {
    "logs_received": 42,
    "decode_errors": 0
  }
}

write_blocked: true means the storage budget is exceeded and new log ingestion is paused. See Storage budget enforcement.

cortex status

Return lightweight runtime status without the heavier DB statistics query. Use this for dashboards and doctor checks that need current queue depth, backpressure, writer failure/drop state, listener counters, and last activity timestamps.

Parameters: none

cortex help

Return markdown documentation for all tools in this toolset.

Parameters: none

The sections above document only the most common actions in detail. For the full 45-action surface with per-action parameters, see docs/mcp/SCHEMA.md or call action=help against a running server.

FTS5 Query Syntax

The cortex search and cortex correlate actions use SQLite FTS5 with porter stemming (tokenize='porter unicode61'). Valid query forms:

Limits: max 512 characters, max 16 whitespace-separated terms.

Porter stemming means connect, connected, connecting, and connection all match the query connect. Phrase queries ("...") bypass stemming and require exact token order.

Log Schema

Each stored log entry has these fields:

AI transcript indexing

cortex sessions index scans the default local transcript roots ~/.claude/projects, ~/.codex/sessions, and ~/.gemini/tmp; cortex sessions index --path PATH can scan a known transcript directory or one explicit supported transcript file, and cortex sessions add --file FILE imports one file. Recursive scans are limited to ~/.claude/projects, ~/.codex/sessions, ~/.gemini/tmp, or their children; broad roots such as /, $HOME, and the current repo root are rejected before walking. The scanner skips symlinks, counts unsupported files without parsing them, and streams JSONL transcript files line-by-line in bounded SQLite chunks. Gemini chat files are imported from ~/.gemini/tmp/*/chats/session-*.json; when a Gemini file has only projectHash, Cortex stores the project as gemini://project/<hash> so session inventory remains queryable. Use --force to reimport a transcript path from scratch after parser changes, --since RFC3339 to scan only recently modified files, and cortex sessions checkpoints --errors plus cortex sessions errors to inspect structured scanner failures.

For real-time local Claude/Codex/Gemini transcript ingestion, install the host-local watch service:

cortex setup sessions-watch-service install
cortex setup sessions-watch-service check
cortex setup sessions-watch-service remove

The watcher runs outside Docker because it needs host access to ~/.claude/projects, ~/.codex/sessions, and ~/.gemini/tmp. It writes to the configured live SQLite DB and delegates every stable changed supported transcript file to the same scanner path used by cortex sessions add --file FILE; Gemini session-*.json chat files use the same checkpoint and duplicate-suppression path. Installing the watcher disables the older polling timer so both helpers do not scan the same files.

The optional polling fallback is still available:

cortex setup sessions-index-timer install
cortex setup sessions-index-timer check
cortex setup sessions-index-timer remove

Both helpers are deliberately not inside the Docker container. Docker Compose owns only the server/query runtime.

Imported AI transcript messages are scrubbed for known credential/token patterns before storage and FTS indexing. The rows still live in the main logs table, so raw actions such as search, tail, context, and get can return scrubbed transcript text and local ai_transcript_path values within seconds of the transcript write. Scrubbing is best-effort, not a compliance boundary. If storage guardrails cannot recover enough space, indexing fails before committing additional chunks.

Shell and agent command history

Local command history can be correlated with system logs without introducing a separate table:

cortex ingest shell index --path ~/.zsh_history --shell zsh
cortex setup agent-command install
export CLAUDE_CODE_SHELL_PREFIX="$HOME/.local/bin/cortex-agent-command-wrapper"
cortex ingest agent-command ingest-spool --path ~/.local/state/cortex/agent-command.jsonl

cortex ingest shell index imports zsh extended history lines with timestamps and durations as source_kind="shell-history" rows. Plain untimestamped history is skipped because it cannot support time-window correlation.

cortex setup agent-command install writes a small local wrapper for Claude Code's CLAUDE_CODE_SHELL_PREFIX. Claude Code invokes that prefix for spawned shell commands, including Bash tool calls, hook commands, and stdio MCP server startup commands. The wrapper preserves stdio and exit code, appends one scrubbed JSONL record under ~/.local/state/cortex/, and cortex ingest agent-command ingest-spool imports those records as source_kind="agent-command" rows, then truncates the locked spool after a successful import so repeated runs only process new commands. The wrapper records command text, cwd, duration, exit status, agent name, PID, host/user, and CLAUDE_CODE_SESSION_ID when present. It does not capture environment variables, stdout, or stderr by default.

Both command import paths run the AI scrubber plus command-specific redaction for token flags, sensitive assignments, Authorization headers, URL userinfo, curl -u, and private-key blocks before storage. Scrubbing is best-effort, not a compliance boundary.

Important: hostname is taken from the syslog message body, which any LAN device can set to an arbitrary value over UDP. For syslog entries, source_ip is the only trustworthy network identifier. For Docker log entries from the current host-local cortex agent, trust follows the deployed agent host and its local Docker socket access. For legacy central pull entries, source_ip identifies the configured Docker host/container/stream and should be trusted only as far as the explicit remote Docker Engine endpoint and network path are trusted. metadata_json preserves source-specific context for debugging and correlation, but it is not an authorization boundary. Retention cutoffs use received_at (server clock) so that devices with misconfigured clocks cannot cause premature or indefinite log retention.

Severity levels

Ordered from most to least severe:

Facilities

kern, user, mail, daemon, auth, cortex, lpr, news, uucp, cron, authpriv, ftp, ntp, audit, alert, clock, local0–local7.

Installation

One-line installer

curl -fsSL https://raw.githubusercontent.com/jmagar/cortex/main/install.sh | sh

The installer puts the host cortex binary in ~/.local/bin and then runs cortex setup. Setup is idempotent and owns the shared host layout:

• ~/.cortex/.env — secrets, ports, Compose interpolation, runtime values
• ~/.cortex/compose/docker-compose.yml — Docker Compose deployment assets
• ~/.cortex/data/cortex.db — SQLite database and WAL/SHM sidecars

Setup writes the compose project name used by the shared host deployment. Existing installations may still use the legacy syslog-jmagar-lab project name for container-label compatibility; prefer cortex compose ... commands because they resolve the live owner before mutating the stack.

Useful installer controls:

CORTEX_INSTALL_DRY_RUN=1 ./install.sh
CORTEX_INSTALL_PREFIX=/opt/cortex ./install.sh
CORTEX_VERSION=<version> ./install.sh
CORTEX_INSTALL_SKIP_SETUP=1 ./install.sh

Useful setup commands:

cortex setup          # first-run or normal repair
cortex setup check    # inspect only; does not mutate files or start services
cortex setup repair   # repair env/assets and restart the Docker stack
cortex setup deploy preflight       # deployment preflight using setup assets
cortex setup deploy local           # local Compose deploy/reconcile command
cortex setup deploy local --dry-run # run the deploy preflight without mutating Docker
cortex setup sessions-watch-service install  # host-local real-time transcript watcher
cortex doctor binary  # check host/container binary freshness

Claude Code plugin (recommended)

Install as a Claude Code plugin. The plugin handles deployment automatically — you choose between server mode (this machine hosts the syslog receiver + MCP server) and client mode (connect to a remote server).

Prompted at install time (via userConfig):

SessionStart hook automation (in server mode):

• Ensures the host cortex binary is on PATH; the installer defaults to ~/.local/bin
• Exports plugin userConfig as CORTEX_* / CORTEX_* environment values
• Runs cortex setup repair, the same setup path used by the one-line installer
• Repairs shared assets under ~/.cortex and removes stale user-level cortex.service units/drop-ins left by older plugin versions
• All idempotent — safe to run on every session

Bundled skills (all 9, from plugins/cortex/skills/):

• cortex — primary log-intelligence skill: search, tail, errors, correlate, stats, and the rest of the MCP action surface
• cortex-dr — health check covering MCP, service status, syslog port, fleet drop-ins, and live log flow; tails service logs on failure
• cortex-deploy-dropins — SSH-based one-shot rsyslog drop-in deployment to every host in fleet_hosts
• cortex-frustration-assessment — analyze an abuse_investigate evidence bundle into a frustration/abuse report
• cortex-logs — Docker Compose service log tailing (the service's own stdout/stderr, not client syslog)
• cortex-redeploy — re-run plugin setup after config or plugin changes
• cortex-report — time-bounded homelab health/log-analysis markdown reports
• cortex-troubleshoot — diagnose connection failures, missing logs, unhealthy containers, and restart loops
• cortex-version-check — check whether the running Docker container matches the local Compose image; add --pull to pull first, otherwise checks only the local image cache

The plugin deploys the server with Docker Compose through the same cortex setup path as the one-line installer. You can still build and run the binary locally for development, but automated deployment is Compose-only.

cortex setup deploy local is the operator-facing name for the same local Compose-backed reconcile path. It exists so deploy workflows stay under the setup namespace without calling a command named setup repair directly.

Docker

git clone https://github.com/jmagar/cortex
cd cortex
cp .env.example .env
# Edit .env — set CORTEX_TOKEN at minimum
docker compose up -d

The container binds:

• UDP :1514 and TCP :1514 for syslog ingestion (published on all interfaces — senders must reach it)
• TCP :3100 for the MCP HTTP API, published on 127.0.0.1 only by default. Set CORTEX_MCP_BIND=0.0.0.0 (plus CORTEX_TOKEN) to expose it; containers on the same Docker network (e.g. the Labby gateway) reach http://cortex:3100 either way.

Local build

Requires Rust 1.86+.

cargo build --release
./target/release/cortex serve mcp

Authentication

cortex supports two auth modes, selectable via CORTEX_AUTH_MODE.

Bearer-only (default) — set CORTEX_TOKEN and all /mcp requests must present that token as Authorization: Bearer <token>. No OAuth routes are mounted.

Loopback no-auth — set CORTEX_NO_AUTH=true only for local development on loopback binds.

Gateway-protected no-auth (TrustedGatewayUnscoped) — on non-loopback binds, set both CORTEX_NO_AUTH=true and CORTEX_TRUSTED_GATEWAY_NO_AUTH=true only when an upstream gateway or reverse proxy enforces auth before traffic reaches cortex. This intentionally disables service-local MCP auth and the read/admin scope gates — every caller can run the write actions ack_error, unack_error, and notifications_test. Never combine this mode with host-published ports; keep CORTEX_MCP_BIND=127.0.0.1 (the default) so only the gateway's Docker network path reaches cortex. See docs/SECURITY.md.

OAuth (Google) — set CORTEX_AUTH_MODE=oauth, the OAuth provider env vars, and an allowlisted admin email. The server issues RS256 JWTs after users authenticate via Google. Bearer tokens and OAuth JWTs can coexist (OAuth mode disables the static token by default; set CORTEX_AUTH_DISABLE_STATIC_TOKEN_WITH_OAUTH=false or disable_static_token_with_oauth = false in config.toml for break-glass access).

Both modes leave /health unauthenticated so health probes always work.

See docs/OAUTH.md for full setup instructions, architecture diagram, and operator FAQ.

Configuration

Configuration is loaded from three sources in priority order (highest wins):

1. Environment variables
2. config.toml (if present)
3. Built-in defaults

Environment variables

MCP server

Non-MCP API

The plain JSON API is always mounted under /api/* on the same HTTP listener and requires its own bearer token — the server fails to start (on the server path) without it. cortex setup repair generates one if missing.

Syslog listener

Docker log ingest

The current deployment path is the host-local cortex agent. Each deployed agent reads Docker logs from that host's local Docker socket (unix:///var/run/docker.sock) and forwards the normalized rows into cortex. This keeps Docker's normal local logging behavior intact, avoids daemon-level syslog drivers, and does not require exposing a Docker API endpoint on the network.

The CORTEX_DOCKER_* settings below remain as a legacy central pull compatibility mode for explicit remote Docker Engine HTTP endpoints. Use them for fixtures or transitional deployments where cortex itself should connect to a Docker-compatible API. Older deployments used docker-socket-proxy for this endpoint, but that is no longer the recommended homelab path.

The hosts file uses this shape:

[[hosts]]
name = "edge-host-a"
base_url = "http://edge-host-a:2375"
allow_insecure_http = true

[[hosts]]
name = "app-host-b"
base_url = "http://app-host-b:2375"
allow_insecure_http = true

If this legacy pull path points at docker-socket-proxy, the proxy side only needs read access to containers, events, ping, and version endpoints: CONTAINERS=1, EVENTS=1, PING=1, VERSION=1, POST=0. CONTAINERS=1 exposes the broader read-only Docker container API to anything that can reach the proxy, so bind it only on a trusted private network, firewall it to cortex, or put it behind authenticated TLS. Plain http:// endpoints require allow_insecure_http = true in the hosts file so that this trust decision is explicit.

Docker log ingest has two test boundaries: agent parity tests verify that deployed agents preserve local Docker socket streaming, and the legacy central pull client has a mocked Docker HTTP fixture. The default smoke test stays focused on live UDP/TCP syslog, MCP/REST actions, CLI parity, and managed file-tail ingest. For a full legacy pull integration check, run cortex with CORTEX_DOCKER_INGEST_ENABLED=true against a disposable Docker-compatible HTTP fixture, emit a unique line from a short-lived container, then verify it with cortex search or mcporter call ... action=search. Container stdout/stderr rows use source_ip=docker://<host>/<container>/<stream>. Container lifecycle rows for actions such as create, start, restart, die, stop, destroy, rename, oom, and health_status:* use source_ip=docker-event://<host>/<container>/<sanitized-action>, facility=docker, and preserve the raw Docker event JSON.

Managed file-tail ingest

Cortex can tail local files directly without rsyslog imfile drop-ins. In Docker, mount the host log tree read-only at /file-tail-root with CORTEX_FILE_TAIL_LOG_VOLUME and register paths inside that mount. Sources are stored next to the SQLite database in file-tails.json, managed through cortex ingest file-tail ..., REST POST /api/file-tails (requires Authorization: Bearer $CORTEX_API_TOKEN plus X-Cortex-Admin-Token: $CORTEX_API_ADMIN_TOKEN), or MCP action file_tails, and emitted as source_kind="file-tail" rows. Row metadata includes file_tail_id, tag, and path_basename, not the full filesystem path. The documented safe default is to keep managed tails inside /file-tail-root. Set CORTEX_FILE_TAIL_ALLOWED_ROOTS explicitly only when an operator has mounted and reviewed broader read-only roots such as /var/log or /logs.

cortex ingest file-tail add --id swag-access \
  --path /file-tail-root/swag/log/nginx/access.log \
  --tag swag-access --host squirts --facility local4
cortex ingest file-tail add --id swag-error \
  --path /file-tail-root/swag/log/nginx/error.log \
  --tag swag-error --host squirts --facility local4 --severity warning
cortex ingest file-tail add --id fail2ban \
  --path /file-tail-root/swag/log/fail2ban/fail2ban.log \
  --tag fail2ban --host squirts --facility local5
cortex ingest file-tail add --id authelia \
  --path /file-tail-root/authelia/logs/authelia.log \
  --tag authelia --host squirts --facility local5
cortex ingest file-tail add --id adguard-query \
  --path /file-tail-root/adguard/var/data/querylog.json \
  --tag adguard-query --host squirts --facility local6

The default starts at EOF. Add --from-start only when you intentionally want to backfill the current file contents. After startup, Cortex checkpoints dev/inode/offset in file-tails.json, resumes from that cursor, and reopens files on rename/create rotation or truncation. Lines are bounded by CORTEX_MAX_MESSAGE_SIZE; oversized records are truncated before enqueue.

Storage

Container

config.toml

Place config.toml next to the binary (or in the working directory). Environment variables override values set here.

[syslog]
host = "0.0.0.0"
port = 1514
max_message_size = 8192
max_tcp_connections = 512
tcp_idle_timeout_secs = 300

[storage]
db_path = "data/cortex.db"
pool_size = 8
sqlite_page_cache_mb = 128
sqlite_mmap_mb = 256
heavy_read_concurrency = 1
wal_checkpoint_mb = 256
retention_days = 90   # 0 = keep forever
wal_mode = true
max_db_size_mb = 1024
recovery_db_size_mb = 900
min_free_disk_mb = 0      # 0 = free-disk guard disabled (default)
recovery_free_disk_mb = 0
cleanup_interval_secs = 60

[mcp]
host = "127.0.0.1"
port = 3100
server_name = "cortex"
# api_token = "your-secret-token"

[docker_ingest]
enabled = false
reconnect_initial_ms = 1000
reconnect_max_ms = 30000

[[docker_ingest.hosts]]
name = "edge-host-a"
base_url = "http://edge-host-a:2375"
allow_insecure_http = true

Security Model

Syslog ingest is unauthenticated by design

The UDP and TCP syslog listeners (port 1514) accept log frames from any reachable host with no authentication. This matches the RFC 3164/5424 syslog protocol design and is intentional for homelab deployments where the network perimeter is the trust boundary.

Consequences:

• hostname in stored records is caller-controlled for vendor formats (CEF/UniFi). Any host on the network can claim any hostname. Use source_ip for trusted origin identification.
• Log injection is possible from any host that can reach port 1514. Do not use cortex for security-critical audit trails without network-level access controls.
• Retention exemption: severity=err and above are excluded from time-based purge. A host flooding with high-severity frames can exhaust disk space.

Mitigations: Bind the syslog port to a specific interface, use a firewall rule to restrict sources, or set CORTEX_ALLOWED_SOURCE_CIDRS (comma-separated CIDR list) to allowlist sending hosts.

MCP API authentication

The MCP query API (port 3100, default loopback) supports two auth modes:

Important: Admin actions such as ack_error, unack_error, notifications_test, and llm_invocations require cortex:admin. Static bearer tokens are read-only unless CORTEX_STATIC_TOKEN_ADMIN=true is explicitly set.

The MCP port defaults to 127.0.0.1:3100 (loopback only), and the Docker Compose files publish container port 3100 on 127.0.0.1 by default (CORTEX_MCP_BIND overrides the host interface). The Labby gateway reaches cortex over the Docker network at http://cortex:3100 regardless of the host publish address. To expose port 3100 on a network interface, set CORTEX_MCP_BIND=0.0.0.0 (Compose) or CORTEX_HOST=0.0.0.0 (bare binary), set CORTEX_TOKEN, and put a TLS-terminating reverse proxy in front of it.

SSH key exposure (inventory mount)

The Compose files mount an SSH key directory read-only at /home/cortex/.ssh for the fleet inventory collectors. The default source is a dedicated key dir, ~/.cortex/ssh (override with CORTEX_SSH_VOLUME). Never point CORTEX_SSH_VOLUME at ~/.ssh — mounting your personal SSH directory gives the container every identity you own and creates a lateral-movement path across the fleet.

Provision a least-privilege deploy key instead: generate a dedicated keypair in ~/.cortex/ssh, write a minimal config listing only the hosts cortex should collect from, curate a known_hosts file (ssh-keyscan), and restrict the key on each fleet host with a restrict,command="..." authorized_keys entry under a low-privilege user. Full walkthrough: docs/SECURITY.md "SSH Key Exposure".

Command modes

cortex serve mcp  # UDP/TCP syslog ingest plus HTTP MCP on /mcp
cortex mcp        # query-only MCP stdio transport
cortex setup      # install/repair shared ~/.cortex Docker Compose setup
cortex setup deploy preflight  # check deploy prerequisites without mutating Docker
cortex setup deploy local      # reconcile local Compose deployment
cortex stats      # query the SQLite DB directly from the CLI
cortex db status  # inspect SQLite maintenance state
cortex db backup  # create a WAL-safe SQLite backup
cortex compose doctor          # diagnose live Compose/listener ownership
cortex compose status --json   # inspect canonical cortex container/project

Both modes use the same config and environment variable loader. cortex mcp is for local child-process MCP clients that can read CORTEX_DB_PATH; it does not bind network ports or run retention/storage cleanup jobs.

The direct CLI uses the same shared service layer as the MCP tool, so results and validation match the MCP actions without needing an MCP client:

cortex search "oom killer"                 # bare query; default limit 50
cortex tail dookie                         # bare positional → --host; default n=50
cortex analysis errors                     # defaults to the last hour
cortex state host tootie                   # bare positional → --host
cortex search 'error AND nginx' --host proxy --limit 10
cortex tail -n 20 --app kernel
cortex analysis errors --since 2026-01-01T00:00:00Z
cortex hosts
cortex correlate events --reference-time 2026-01-01T12:00:00Z --window-minutes 10 --severity-min warning
cortex entity host tootie
cortex graph around host tootie --limit 25
cortex graph explain host tootie --depth 2
cortex stats --json
cortex db integrity            # run PRAGMA integrity_check
cortex db checkpoint --mode full
cortex db vacuum --pages 1000
cortex compose pull            # pull image for resolved Compose project
cortex compose up              # run docker compose up -d for resolved service
cortex compose restart         # restart resolved service
cortex compose logs --tail 20  # bounded compose logs
cortex compose logs cortex --tail 20  # bounded logs for one service

# Surface parity (2026-05-22) — each has a matching REST route documented below
cortex hosts sources --limit 50
cortex hosts silent --silent-minutes 60
cortex state clock-skew     --since 2026-05-20T00:00:00Z
cortex analysis anomalies   --recent-minutes 30 --baseline-minutes 720
cortex analysis compare     --a-from 2026-05-20T00:00:00Z --a-to 2026-05-20T23:59:59Z \
                            --b-from 2026-05-21T00:00:00Z --b-to 2026-05-21T23:59:59Z
cortex apps         --host dookie --limit 50

Skill, MCP, abuse, and hook assessment (cortex assess)

cortex assess is the primary UX for LLM-guarded incident assessment. It runs through the LLM invocation guard (LlmRunner — rate-limited, circuit-breaker-protected, fully audited in llm_invocations) and, for assess skill/assess mcp/assess hooks, sources evidence from investigate_ai_skill_incidents/investigate_ai_mcp_incidents/ investigate_ai_hook_incidents — purpose-built incident detectors, not a repurposed abuse-incident search.

# Assess the highest-priority incident touching a given skill
cortex assess skill cortex-frustration-assessment

# Narrow by tool/project/time window
cortex assess skill cortex-frustration-assessment --since 7d --tool codex --project /home/jmagar/workspace/cortex

# Assess every matching skill incident, not just the top one
cortex assess skill cortex-frustration-assessment --all
cortex assess skill cortex-frustration-assessment --limit 5

# Filter by plugin instead of a single skill name
cortex assess skill --plugin lavra --since 7d

# Deterministic findings only — no Gemini call, safe to script/automate
cortex assess skill cortex-frustration-assessment --no-llm

# Assess the highest-priority incident touching a given MCP server/tool
cortex assess mcp labby
cortex assess mcp --tool-name mcp__labby__search --since 7d

# Assess every matching MCP incident, not just the top one
cortex assess mcp labby --all
cortex assess mcp labby --no-llm

# Abuse-incident assessment: auto-picks the top matching incident
cortex assess abuse

# Or assess a specific incident id
cortex assess abuse --incident-id <id>

# Hook assessment: auto-picks the top matching hook incident
cortex assess hooks

# Narrow to a known hook name / hook event
cortex assess hooks --hook format-on-save --since 24h
cortex assess hooks --hook-event PostToolUse --since 7d

# Collect a fresh point-in-time hook config/trust-state inventory from the
# local host BEFORE assessing (~/.claude/settings.json, ~/.codex/hooks.json,
# ~/.codex/config.toml [hooks.state]) so config/trust evidence is available
# alongside any runtime evidence
cortex assess hooks --collect-config

# Deterministic findings only
cortex assess hooks --hook format-on-save --no-llm

assess skill, assess mcp, assess abuse, and assess hooks all run the guarded Gemini assessment step by default (matching cortex sessions assess's existing behavior) — pass --no-llm to get deterministic findings only. The LLM step is local-CLI-only: --http mode is rejected unless --no-llm is also passed, since it spawns a Gemini subprocess on the local host via LlmRunner.

Hook assessment findings always include an evidence_basis field stating whether the incident is backed by proven runtime_transcript hook execution (Claude transcript attachment.type = hook_* rows) or only by config_inventory/trusted_hash_state evidence (configured/trusted hooks from ~/.claude/settings.json, ~/.codex/hooks.json, or ~/.codex/config.toml [hooks.state]) — a configured hook is never treated as proof it executed. Codex has no observed runtime hook-execution shape yet, so Codex hook assessment is config/trust-state evidence only until a real structured runtime event shape is confirmed.

Related commands:

• cortex sessions assess <incident_id> — abuse-incident assessment by explicit incident id (no auto-pick).
• cortex sessions skill-assess <skill> — same as cortex assess skill.
• cortex sessions skill-investigate <skill> — deterministic-only skill-incident evidence command (no LLM step, ever); use this to inspect evidence before deciding whether to spend an assess skill call.
• cortex sessions mcp-assess <server-or-tool> — same as cortex assess mcp.
• cortex sessions mcp-investigate <server-or-tool> — deterministic-only MCP-incident evidence command (no LLM step, ever); use this to inspect evidence before deciding whether to spend an assess mcp call.
• cortex sessions mcp-events / cortex sessions mcp-incidents — list raw MCP tool-call events / grouped incident candidates without an evidence bundle.
• cortex sessions hook-events [--hook NAME] [--hook-event EVENT] — list raw ai_hook_events rows (runtime + config inventory).
• cortex sessions hooks-backfill [--since TIME] [--dry-run] — bounded, idempotent backfill of Claude runtime hook events from existing transcript history (config-inventory rows are not backfilled — they are a point-in-time host read via --collect-config).

REST endpoints (2026-05-22 surface parity)

The 12 new routes mirror existing MCP actions one-for-one. All require the CORTEX_API_TOKEN bearer; AI endpoints with terms[]= parameters are served via serde_qs to handle repeated keys.

GET  /api/silent-hosts?silent_minutes=60
GET  /api/clock-skew?since=<RFC3339>
GET  /api/anomalies?recent_minutes=15&baseline_minutes=360
GET  /api/compare?a_from=...&a_to=...&b_from=...&b_to=...
GET  /api/apps?hostname=&from=&to=&limit=&offset=
GET  /api/similar-incidents?query=...&window_minutes=30
GET  /api/incident-context?from=...&to=...
GET  /api/sessions/ask-history?query=...
GET  /api/sessions/incidents?terms[]=foo&terms[]=bar
GET  /api/sessions/investigate?correlation_window_minutes=30
GET  /api/graph/entity?entity_type=host&key=tootie
GET  /api/graph/around?entity_type=host&key=tootie&depth=1
GET  /api/graph/explain?entity_type=host&key=tootie&depth=2
GET  /api/compose/status
GET  /api/compose/doctor

/api/compose/status is a redacted read-only projection and can report runtime_state="docker_unavailable" when Docker inspection is unavailable from inside the container. /api/compose/doctor is stricter: unready Docker, ownership, or runtime states return HTTP 503 with the same structured projection.

cortex compose commands resolve the live Compose owner before mutation. They refuse ambiguous cwd fallback, stale Compose labels, listener conflicts, and destructive down without --yes.

See docs/CLI.md for the full direct CLI reference, including flags, JSON output, and how CLI commands map to MCP actions.

Syslog Forwarder Setup

The server listens on port 1514 by default. Configure senders to forward to this port. If a device cannot use a non-privileged port, see Exposing port 514.

rsyslog

Create /etc/rsyslog.d/99-remote.conf on each host:

# TCP (reliable, recommended for persistent connections)
*.* @@CORTEX_SERVER:1514

# UDP (lower overhead, no delivery guarantee)
# *.* @CORTEX_SERVER:1514

Restart: sudo systemctl restart rsyslog

For hosts running pure journald without rsyslog, first enable forwarding in /etc/systemd/journald.conf:

[Journal]
ForwardToSyslog=yes

Then install and configure rsyslog as above.

syslog-ng

Add to /etc/syslog-ng/conf.d/remote.conf:

destination d_remote_tcp {
    network("CORTEX_SERVER"
        port(1514)
        transport("tcp")
    );
};

destination d_remote_udp {
    network("CORTEX_SERVER"
        port(1514)
        transport("udp")
    );
};

log {
    source(s_src);
    destination(d_remote_tcp);
};

Restart: sudo systemctl restart syslog-ng

WSL2 (systemd enabled)

Enable systemd in /etc/wsl.conf:

[boot]
systemd=true

Install rsyslog and use the rsyslog config above. Use the Tailscale IP of the cortex host — WSL has its own network namespace and cannot reach the Docker host IP directly.

UniFi Cloud Gateway

Option A — via SSH:

ssh admin@<gateway-ip>
# Create /etc/rsyslog.d/remote.conf (persists on newer firmware):
echo "*.* @CORTEX_SERVER:1514" | sudo tee /etc/rsyslog.d/remote.conf
sudo systemctl restart rsyslog

Option B — via UI (survives firmware updates):

Settings → System → Advanced → Remote Syslog Server. Set host and port 1514.

Routers and appliances (UDP-only devices)

Set the syslog server address to your CORTEX_SERVER and port to 1514 in the device's syslog settings. Most consumer routers and network appliances expose this under Diagnostics or Logging settings.

Exposing port 514

Syslog's privileged port 514 requires root or CAP_NET_BIND_SERVICE. The recommended approach is to redirect at the host with iptables:

# Redirect UDP and TCP 514 → 1514 on the host
sudo iptables -t nat -A PREROUTING -p udp --dport 514 -j REDIRECT --to-port 1514
sudo iptables -t nat -A PREROUTING -p tcp --dport 514 -j REDIRECT --to-port 1514

# Persist across reboots (Debian/Ubuntu)
sudo apt install iptables-persistent
sudo netfilter-persistent save

For Docker Compose, set CORTEX_RECEIVER_HOST_PORT=514 to publish host port 514 while the container keeps binding unprivileged port 1514. On Unraid, map host port 514 to container port 1514 for both UDP and TCP in the Docker template (514:1514/udp and 514:1514/tcp).

Firewall rules

Open the syslog port on the Docker host firewall:

# ufw
sudo ufw allow 1514/udp
sudo ufw allow 1514/tcp

# firewalld
sudo firewall-cmd --permanent --add-port=1514/udp
sudo firewall-cmd --permanent --add-port=1514/tcp
sudo firewall-cmd --reload

Heartbeats

The heartbeat agent is a small host-local loop (the same cortex binary) that collects bounded system state (load, memory, disk, top processes) and POSTs it to the server's POST /v1/heartbeats endpoint on port 3100 every 30 seconds. Heartbeat rows feed the host_state, fleet_state, and correlate_state MCP actions and are retained for 14 days.

Install it as a user systemd service on each fleet host:

cortex setup heartbeat-agent install   # write + enable the systemd unit
cortex setup heartbeat-agent check     # inspect unit/env state
cortex setup heartbeat-agent remove    # remove the unit
cortex heartbeat agent --once --emit   # one-shot foreground run for debugging

Configuration:

• CORTEX_HEARTBEAT_TARGET — server base URL (default http://127.0.0.1:3100; falls back to CORTEX_URL)
• CORTEX_HEARTBEAT_TOKEN — bearer token sent with each POST (falls back to CORTEX_TOKEN)

When the server has CORTEX_TOKEN set, heartbeat POSTs must carry that token; on an unauthenticated loopback-only server no token is needed.

OTLP Ingest

The shared HTTP listener on port 3100 also accepts OpenTelemetry logs at POST /v1/logs (logs only — /v1/metrics and /v1/traces return 404). The endpoint decodes binary protobuf (ExportLogsServiceRequest; OTLP/JSON is not supported) and enforces a 4 MiB request body limit (413 responses include Retry-After: 86400).

Auth matches MCP: when CORTEX_TOKEN is set, requests need Authorization: Bearer <token>. Exposing /v1/logs on a non-loopback bind without a static bearer token is blocked at startup (OAuth JWTs do not authorize OTLP ingest today).

Minimal OpenTelemetry Collector exporter config:

exporters:
  otlphttp/cortex:
    endpoint: http://CORTEX_SERVER:3100
    encoding: proto
    headers:
      Authorization: "Bearer ${env:CORTEX_TOKEN}"

service:
  pipelines:
    logs:
      exporters: [otlphttp/cortex]

Retention Policy

Logs are retained for CORTEX_RETENTION_DAYS days (default 90). Set to 0 to disable the global age-based purge (the AdGuard and heartbeat caps below still apply).

The retention purge runs hourly (the separate storage-budget enforcement loop runs on CORTEX_CLEANUP_INTERVAL_SECS). It deletes logs in chunks of 10,000 rows, releasing the write lock between chunks so ingest can proceed. Retention cutoff uses received_at (the server-side ingestion timestamp), not the timestamp in the message. This prevents devices with misconfigured clocks from causing premature or indefinite retention.

Severity-based exemptions and per-source caps:

• err+ exemption — rows with severity IN (err, crit, alert, emerg) are never aged out by retention. They can still be deleted under DB-size pressure, but only outside the err+ floor (CORTEX_ERR_FLOOR_WINDOW_HOURS=24, CORTEX_ERR_FLOOR_PER_SOURCE_CAP=10000).
• AdGuard tags — adguard-allowed / adguard-query / adguard-rewrite rows are hard-capped at 7 days regardless of retention_days (DNS query volume would otherwise dominate the FTS index).
• Heartbeats — heartbeat telemetry rows are capped at 14 days.

After large deletions, an incremental FTS5 merge runs to reclaim index space without long write-lock durations.

Storage Budget Enforcement

Two independent guards protect against disk exhaustion:

DB size guard (CORTEX_MAX_DB_SIZE_MB, default 1024 MB — enabled)

When the logical SQLite DB size exceeds max_db_size_mb, the oldest logs are deleted in chunks of CORTEX_CLEANUP_CHUNK_SIZE rows until the size drops below recovery_db_size_mb. High-severity rows inside the err+ floor (CORTEX_ERR_FLOOR_WINDOW_HOURS=24, capped at CORTEX_ERR_FLOOR_PER_SOURCE_CAP=10000 rows per source IP) are excluded from the deletable set.

Free disk guard (CORTEX_MIN_FREE_DISK_MB, default 0 — disabled)

Whole-filesystem free space is an external condition cortex cannot fix by deleting its own data, so a free-disk breach blocks new writes rather than self-trimming. Writes resume once free disk rises above recovery_free_disk_mb (hysteresis prevents oscillation). Enable by setting both min_free_disk_mb and a higher recovery_free_disk_mb.

Write-blocking behavior

If enforcement cannot free enough space (or the free-disk guard trips), the batch writer enters write-blocked state. New log messages accumulate in an in-memory buffer (CORTEX_WRITE_CHANNEL_CAPACITY, default 10,000 messages). Writes resume automatically when space recovers. The write_blocked field in cortex stats reflects the current state.

Disable either guard by setting its trigger to 0 (also set the recovery target to 0).

Heavy SQLite migrations

Most schema setup runs automatically during startup. Heavy migrations, such as creating a new index on a populated multi-million-row logs table, can hold SQLite's write lock for several minutes before syslog listeners and /health are available. During that window TCP senders may back up and UDP packets may be dropped by kernel buffers.

Before upgrading a populated database:

1. Take a WAL-safe backup with scripts/backup.sh or sqlite3 /data/cortex.db ".backup /data/syslog-pre-upgrade.db".
2. Schedule a short ingest maintenance window for large databases.
3. Start the new version and monitor logs for Migration N: starting ... and Migration N: ... created.
4. Keep the previous image or binary available until /health returns ok and cortex stats reports sane counts.

See docs/RELEASE.md for the current release and deploy gate checklist.

Batch Writer

The batch writer improves throughput by collecting parsed syslog messages into batches before writing to SQLite.

Batches are written in a single SQLite transaction. If the DB is busy (locked), the writer retries up to 3 times with exponential backoff (25 ms, 100 ms, 250 ms). Batches that fail insertion are retained in memory and retried on the next flush cycle. If a retained batch grows beyond 1,000 entries, it is discarded to prevent unbounded memory growth.

The internal write channel holds up to CORTEX_WRITE_CHANNEL_CAPACITY parsed messages. When the channel is full, backpressure is logged and further UDP/TCP receives block until space is available.

Multi-Host Deployment

Point multiple hosts at the same cortex instance. Each sender's hostname field (from the syslog message) is recorded and indexed. Use cortex hosts to see all senders. Filter by hostname in cortex search and cortex tail. Use cortex correlate events to find related events across hosts within a time window.

For large fleets, consider:

• Increasing CORTEX_POOL_SIZE (default 8) for higher read concurrency
• Increasing CORTEX_BATCH_SIZE and CORTEX_FLUSH_INTERVAL to reduce write overhead
• Setting CORTEX_RETENTION_DAYS to balance history depth against disk cost

Time Synchronization

All timestamps are stored in UTC. cortex correlate events uses the timestamp field from the syslog message, which reflects the sending device's clock. Devices with drifted clocks will have their events shifted relative to the correlation window. Run NTP on all senders to minimize skew. received_at (the server-side ingestion time) is unaffected by sender clock drift and is used for retention.

HTTPS / Reverse Proxy

Add a SWAG proxy conf to expose the MCP API over TLS:

# /config/nginx/proxy-confs/cortex.subdomain.conf
server {
    listen 443 ssl;
    server_name cortex.*;

    include /config/nginx/ssl.conf;

    location / {
        include /config/nginx/proxy.conf;
        include /config/nginx/resolver.conf;

        # RMCP Streamable HTTP in stateless JSON-response mode.
        # Clients use POST /mcp; GET/DELETE /mcp are not supported.
        proxy_http_version 1.1;

        set $upstream_app cortex;
        set $upstream_port 3100;
        set $upstream_proto http;
        proxy_pass $upstream_proto://$upstream_app:$upstream_port;
    }
}

Development

just dev       # cargo run -- serve mcp
just check     # cargo check
just lint      # cargo clippy -- -D warnings
just fmt       # cargo fmt
just test      # cargo test
just build     # cargo build
just release   # cargo build --release

Docker:

just up        # docker compose up -d
just logs      # docker compose logs -f
just down      # docker compose down
just restart   # docker compose restart
cortex compose doctor
cortex compose status --json
cortex compose logs --tail 20

Generate a bearer token:

just gen-token   # openssl rand -hex 32

Verification

After deploying, verify the stack:

# Health probe (no auth required)
curl -sf http://localhost:3100/health | jq .
# → {"status":"ok"}

# Send a test message from any Linux host
logger -n CORTEX_SERVER -P 1514 --tcp "test from $(hostname)"

# Tail recent logs via MCP (replace token if auth is enabled)
curl -s -X POST http://localhost:3100/mcp \
  -H "Content-Type: application/json" \
  -H "Accept: application/json, text/event-stream" \
  -H "Authorization: Bearer YOUR_TOKEN" \
  -d '{
    "jsonrpc": "2.0",
    "id": 1,
      "method": "tools/call",
      "params": {
      "name": "cortex",
      "arguments": {"action": "tail", "n": 10}
    }
  }' | jq .

# DB stats
curl -s -X POST http://localhost:3100/mcp \
  -H "Content-Type: application/json" \
  -H "Accept: application/json, text/event-stream" \
  -H "Authorization: Bearer YOUR_TOKEN" \
  -d '{
    "jsonrpc": "2.0",
    "id": 2,
    "method": "tools/call",
    "params": {"name": "cortex", "arguments": {"action": "stats"}}
  }' | jq .result.content[0].text | jq -r . | jq .

Run the full test suite:

just check
just lint
just test

Run the live smoke test against a running server:

bash scripts/smoke-test.sh

The smoke test seeds UDP and TCP syslog messages and verifies MCP search/tail results. Docker log coverage is split by path: host-local agent parity is covered by agent deployment tests, the default live smoke covers file-tail/REST/CLI paths, and legacy central pull coverage uses the mocked Docker HTTP fixture or an explicit Docker-compatible endpoint.

Performance

At typical homelab scale (1–20 hosts, thousands of messages per day):

• SQLite with WAL mode handles concurrent reads and writes without contention
• The batch writer sustains thousands of messages per second on commodity hardware
• FTS5 with porter stemming adds minimal overhead over plain SQL queries
• PRAGMA cache_size=-64000 allocates ~64 MB page cache per connection
• PRAGMA synchronous=NORMAL balances durability and throughput
• Connection pool (default 8) satisfies concurrent MCP requests without blocking

For higher ingest rates (IoT, high-traffic network devices):

• Increase CORTEX_BATCH_SIZE (e.g. 500) to reduce transaction overhead
• Increase CORTEX_FLUSH_INTERVAL (e.g. 1000 ms) to widen batch windows
• Increase CORTEX_WRITE_CHANNEL_CAPACITY (e.g. 100000) to absorb bursts
• Increase CORTEX_POOL_SIZE (e.g. 8) for more read concurrency
• Place the database on an SSD or tmpfs-backed volume

MCP Transport

The daemon implements MCP through RMCP Streamable HTTP in stateless JSON-response mode.

• POST /mcp — RMCP Streamable HTTP request/response endpoint
• GET /mcp and DELETE /mcp — 405 Method Not Allowed in stateless mode
• GET /health — unauthenticated health probe
• cortex mcp — local query-only stdio MCP mode for clients that launch MCP servers as child processes

When CORTEX_TOKEN is set, /mcp requires:

Authorization: Bearer <token>

/health is always unauthenticated (required for Docker health checks and reverse-proxy probes).

Stdio mode does not use bearer auth because it is local child-process access. It does require CORTEX_DB_PATH to point at the same SQLite database populated by the daemon:

{
  "mcpServers": {
    "cortex": {
      "command": "/path/to/cortex",
      "args": ["mcp"],
      "env": {
        "CORTEX_DB_PATH": "/data/cortex.db",
        "RUST_LOG": "warn"
      }
    }
  }
}

Use mcp-remote instead of direct stdio when the database is only reachable through the running HTTP daemon or a reverse proxy.

The Docker image remains daemon-focused and exposes HTTP MCP via cortex serve mcp; use cortex mcp on a host that can read the SQLite DB for direct local stdio.

Related Files

Related plugins

License

MIT