io.github.alex-feel/mcp-context-server

Official

by alex-feel · Python

An MCP server that provides persistent multimodal context storage for LLM agents.

io.github.alex-feel/mcp-context-server (MCP Context Server)

This MCP server provides persistent multimodal context storage for LLM agents. It supports agent-memory and agentic-memory patterns, including memory-engine and memory-retrieval capabilities for short-term, scratchpad, working, and scratch-space style contexts.

🛠️ Key Features

Persistent context storage for LLM agents
Multimodal context handling
Memory organization concepts: short-term memory, scratchpad memory, working memory, scratch space
Memory retrieval and a dedicated memory engine

🚀 Use Cases

Storing and retrieving agent memory for subagents and multi-agent workflows
Maintaining working/scratchpad context across steps for “agentic” execution
Context engineering for codex/procedural-memory style flows

⚡ Developer Benefits

MCP integration via an MCP server for LLM agents
Structured memory retrieval across different memory categories
Useful for codex and procedural-memory workflows

⚠️ Limitations

Description does not specify transport protocol details, available tools, or configuration options.

Topics

agentsaiclaude-codemcpmcp-serversubagentscontext-engineeringagent-memoryagentic-memorymemoryai-memorymemory-enginememory-retrievalshort-term-memoryscratchpad-memoryworking-memoryscratchpadscratch-spacecodexprocedural-memory

README.md11 KBView on GitHub

MCP Context Server

MCP Context Server - MCP-based server providing persistent multimodal context storage for LLM agents

A high-performance Model Context Protocol (MCP) server providing persistent multimodal context storage for LLM agents. Built with FastMCP, this server enables seamless context sharing across multiple agents working on the same task through thread-based scoping.

WARNING

Upgrading from v2.x? Version 3.x.x uses a new database schema with UUIDv7 primary keys. Existing v2.x databases require a one-time data migration before they can be used with v3.x.x. The opt-in CLI mcp-context-server-migrate ships with the server.

See the Migration Guide before upgrading. Fresh installations are unaffected.

Key Features

Multimodal Context Storage: Store and retrieve both text and images
UUIDv7 Context Identifiers: Every context entry is identified by a 32-character lowercase hex UUIDv7 value, providing time-ordered, globally unique IDs with a stable lex-string ordering
Thread-Based Scoping: Agents working on the same task share context through thread IDs
Flexible Metadata Filtering: Store custom structured data with any JSON-serializable fields and filter using 16 powerful operators
Date Range Filtering: Filter context entries by creation timestamp using ISO 8601 format
Tag-Based Organization: Efficient context retrieval with normalized, indexed tags
Summary Generation: Optional automatic LLM-based summarization returned alongside truncated text_content in all search tool results for better agent context efficiency (enabled by default with Ollama)
Full-Text Search: Linguistic search with stemming, ranking, boolean queries (FTS5/tsvector), and cross-encoder reranking. Auto-enabled by default (ENABLE_FTS=auto); needs no extra dependencies
Semantic Search: Vector similarity search for meaning-based retrieval with cross-encoder reranking. Auto-enabled by default (ENABLE_SEMANTIC_SEARCH=auto) whenever an embedding provider is available (embedding generation is on by default)
Hybrid Search: Combined FTS + semantic search using Reciprocal Rank Fusion (RRF) with cross-encoder reranking. Auto-enabled by default (ENABLE_HYBRID_SEARCH=auto) whenever at least one of full-text or semantic search is available
Server-Side Grep: Literal/regex, line-oriented, unranked pattern matching over stored records (grep_context) — the precise-locate complement to full-text/semantic search, with ripgrep-style output modes and bounded results. Auto-enabled by default (ENABLE_GREP_CONTEXT=auto), pure-Python so it behaves identically on SQLite and PostgreSQL
Record Navigation (index_tree): navigate_context builds an on-demand Markdown-heading table of contents per record, with the entry summary as the root node; optional per-node LLM summaries (on by default) enrich each section. Pair with read_context_range to extract any section
Partial Reads: read_context_range returns a slice of one record by character range, line range, or outline node_id — so an agent can read only the relevant span of a long record instead of the whole thing
Cross-Encoder Reranking: Automatic result refinement using FlashRank cross-encoder models for improved search precision (enabled by default)
Embedding Compression (default ON): Reduces embedding storage by approximately 8x out of the box in v3.0.0. Bit-packed compressed vectors keep semantic and hybrid search working without changes to the tool surface, and the read path bypasses the pgvector >2000-dimension HNSW limit. Set ENABLE_EMBEDDING_COMPRESSION=false to opt out and keep fp32 storage. See the Embedding Compression Guide
Multiple Database Backends: Choose between SQLite (default, zero-config) or PostgreSQL (high-concurrency, production-grade)
High Performance: WAL mode (SQLite) / MVCC (PostgreSQL), strategic indexing, and async operations
MCP Standard Compliance: Works with Claude Code, LangGraph, and any MCP-compatible client
Production Ready: Comprehensive test coverage, type safety, and robust error handling

Connecting to Your AI Assistant

The fastest way to connect the MCP Context Server to Claude Code is the one-command Docker bootstrap.

For step-by-step instructions, prerequisites, troubleshooting, and update/uninstall commands, see the Connecting to Your AI Assistant Guide.

Environment Configuration

The server is fully configured via environment variables, supporting core settings, transport, authentication, embedding providers, summary generation, search features, database tuning, and more. Variables can be set in your MCP client configuration, in a .env file, or directly in the shell.

For the complete reference of all environment variables with types, defaults, constraints, and descriptions, see the Environment Variables Reference.

Summary Generation

Summary generation automatically creates concise LLM-based summaries for each stored context entry. Summaries are returned in the summary field of all search tool results alongside truncated text_content, providing dense, informative summaries that help agents determine relevance without fetching full entries.

For detailed instructions including all providers (Ollama, OpenAI, Anthropic), model selection, and custom prompt configuration, see the Summary Generation Guide.

Semantic Search

Semantic search is auto-enabled by default (ENABLE_SEMANTIC_SEARCH=auto): the semantic_search_context tool registers automatically whenever an embedding provider is available (embedding generation is on by default), and skips quietly otherwise. For detailed instructions on the multiple embedding providers (Ollama, OpenAI, Azure, HuggingFace, Voyage) and how to control the toggle explicitly, see the Semantic Search Guide.

Full-Text Search

Full-text search is auto-enabled by default (ENABLE_FTS=auto) and needs no extra dependencies, using the built-in database FTS engine (FTS5 on SQLite, tsvector on PostgreSQL). For linguistic processing, stemming, ranking, and boolean queries, see the Full-Text Search Guide.

Hybrid Search

Hybrid search is auto-enabled by default (ENABLE_HYBRID_SEARCH=auto): the hybrid_search_context tool registers automatically whenever at least one of full-text or semantic search is available. For combined FTS + semantic search using Reciprocal Rank Fusion (RRF), see the Hybrid Search Guide.

Metadata Filtering

For comprehensive metadata filtering including 16 operators, nested JSON paths, and performance optimization, see the Metadata Guide.

Database Backends

The server supports multiple database backends, selectable via the STORAGE_BACKEND environment variable. SQLite (default) provides zero-configuration local storage perfect for single-user deployments. PostgreSQL offers high-performance capabilities with 10x+ write throughput for multi-user and high-traffic deployments.

For detailed configuration instructions including PostgreSQL setup with Docker, Supabase integration, connection methods, and troubleshooting, see the Database Backends Guide.

API Reference

The MCP Context Server exposes 16 MCP tools for context management:

Core Operations: store_context, search_context, get_context_by_ids, delete_context, update_context, list_threads, get_statistics

Search Tools: semantic_search_context, fts_search_context, hybrid_search_context

Navigation Tools (locate / navigate / extract): grep_context, navigate_context, read_context_range

Batch Operations: store_context_batch, update_context_batch, delete_context_batch

For complete tool documentation including parameters, return values, filtering options, and examples, see the API Reference. For when to use grep vs full-text vs semantic search, the index_tree, and partial reads, see Grep, Navigation & Partial Reads.

Docker Deployment

For production deployments with HTTP transport and container orchestration, Docker Compose configurations are available for SQLite, PostgreSQL, and external PostgreSQL (Supabase). See the Docker Deployment Guide for setup instructions and client connection details.

Kubernetes Deployment

For Kubernetes deployments, a Helm chart is provided with configurable values for different environments. See the Helm Deployment Guide for installation instructions, or the Kubernetes Deployment Guide for general Kubernetes concepts.

Authentication

For HTTP transport deployments requiring authentication, see the Authentication Guide for bearer token and IdP-issued JWT configuration.

Getting Help

Bug reports: Report a bug
Feature requests: Suggest a feature
Documentation issues: Report a docs issue
Questions: Ask a question

License

MCP Context Server is licensed under the Elastic License 2.0 (ELv2).

In short: you may use, copy, modify, distribute, and run the software freely and at no cost — for personal projects, inside companies of any size, and as part of commercial work. The one thing you may not do without a commercial agreement is provide the software to third parties as a hosted or managed service that gives users access to any substantial set of its features or functionality (for example, a cloud "memory for agents" offering built on it).

See Commercial Licensing for plain-language examples of what is and is not permitted, and contact alexfeel@protonmail.com for commercial licensing, including hosted or managed service rights.

Releases up to and including v2.2.2 were published under the MIT License and remain available under it; the Elastic License 2.0 applies from v3.0.0 onward.

Install

Configuration

Environment variables

LOG_LEVEL

Log level

STORAGE_BACKEND

Storage backend type: sqlite (default) or postgresql

MAX_IMAGE_SIZE_MB

Maximum individual image size in megabytes

MAX_TOTAL_SIZE_MB

Maximum total request size in megabytes

DB_PATH

Custom database file location path

POOL_MAX_READERS

Maximum number of concurrent read connections in the pool

POOL_MAX_WRITERS

Maximum number of concurrent write connections in the pool

POOL_CONNECTION_TIMEOUT_S

Connection timeout in seconds

POOL_IDLE_TIMEOUT_S

Idle connection timeout in seconds

POOL_HEALTH_CHECK_INTERVAL_S

Connection health check interval in seconds

RETRY_MAX_RETRIES

Maximum number of retry attempts for failed operations

RETRY_BASE_DELAY_S

Base delay in seconds between retry attempts

RETRY_MAX_DELAY_S

Maximum delay in seconds between retry attempts

RETRY_JITTER

Enable random jitter in retry delays

RETRY_BACKOFF_FACTOR

Exponential backoff multiplication factor for retries

SQLITE_FOREIGN_KEYS

Enable SQLite foreign key constraints

SQLITE_JOURNAL_MODE

SQLite journal mode (e.g., WAL, DELETE)

SQLITE_SYNCHRONOUS

SQLite synchronous mode (e.g., NORMAL, FULL, OFF)

SQLITE_TEMP_STORE

SQLite temporary storage location (e.g., MEMORY, FILE)

SQLITE_MMAP_SIZE

SQLite memory-mapped I/O size in bytes

SQLITE_CACHE_SIZE

SQLite cache size (negative value for KB, positive for pages)

SQLITE_PAGE_SIZE

SQLite page size in bytes

SQLITE_WAL_AUTOCHECKPOINT

SQLite WAL autocheckpoint threshold in pages

SQLITE_BUSY_TIMEOUT_MS

SQLite busy timeout in milliseconds

SQLITE_WAL_CHECKPOINT

SQLite WAL checkpoint mode (e.g., PASSIVE, FULL, RESTART)

SHUTDOWN_TIMEOUT_S

Server shutdown timeout in seconds

SHUTDOWN_TIMEOUT_TEST_S

Test mode shutdown timeout in seconds

QUEUE_TIMEOUT_S

Queue operation timeout in seconds

QUEUE_TIMEOUT_TEST_S

Test mode queue timeout in seconds

CIRCUIT_BREAKER_FAILURE_THRESHOLD

Circuit breaker failure threshold before opening

CIRCUIT_BREAKER_RECOVERY_TIMEOUT_S

Circuit breaker recovery timeout in seconds

CIRCUIT_BREAKER_HALF_OPEN_MAX_CALLS

Maximum calls allowed in circuit breaker half-open state

POSTGRESQL_CONNECTION_STRINGsecret

Complete PostgreSQL connection string (overrides individual settings if provided)

POSTGRESQL_HOST

PostgreSQL server host address

POSTGRESQL_PORT

PostgreSQL server port number

POSTGRESQL_USER

PostgreSQL database username

POSTGRESQL_PASSWORDsecret

PostgreSQL database password

POSTGRESQL_DATABASE

PostgreSQL database name

POSTGRESQL_POOL_MIN

PostgreSQL connection pool minimum size

POSTGRESQL_POOL_MAX

PostgreSQL connection pool maximum size

POSTGRESQL_POOL_TIMEOUT_S

PostgreSQL connection pool timeout in seconds

POSTGRESQL_COMMAND_TIMEOUT_S

PostgreSQL command execution timeout in seconds

POSTGRESQL_MIGRATION_TIMEOUT_S

Timeout in seconds for PostgreSQL migration operations (default: 300)

POSTGRESQL_MAX_INACTIVE_LIFETIME_S

Close idle PostgreSQL connections after this many seconds (0 to disable, default: 300)

POSTGRESQL_MAX_QUERIES

Recycle PostgreSQL connections after this many queries (0 to disable, default: 10000)

POSTGRESQL_TCP_KEEPALIVES_IDLE_S

Seconds of idle time before sending first TCP keepalive probe (0 to disable, default: 15)

POSTGRESQL_TCP_KEEPALIVES_INTERVAL_S

Seconds between subsequent TCP keepalive probes (0 to disable, default: 5)

POSTGRESQL_TCP_KEEPALIVES_COUNT

Number of failed TCP keepalive probes before connection is considered dead (0 to disable, default: 3)

POSTGRESQL_STATEMENT_CACHE_SIZE

asyncpg prepared statement cache size. Set to 0 for external pooler compatibility (PgBouncer transaction mode, Pgpool-II, etc.). Default: 100

POSTGRESQL_MAX_CACHED_STATEMENT_LIFETIME_S

Maximum lifetime of cached prepared statements in seconds (default: 300). Has no effect when statement_cache_size=0

POSTGRESQL_MAX_CACHEABLE_STATEMENT_SIZE

Maximum size of statement to cache in bytes (default: 15360). Has no effect when statement_cache_size=0

POSTGRESQL_SSL_MODE

PostgreSQL SSL mode (disable, allow, prefer, require, verify-ca, verify-full)

POSTGRESQL_SCHEMA

PostgreSQL schema name for table and index operations (default: public)

ENABLE_SEMANTIC_SEARCH

Enable semantic search functionality

ENABLE_EMBEDDING_GENERATION

Enable embedding generation for stored context. Default true - server fails if dependencies not met. Set false to disable embeddings.

OLLAMA_HOST

Ollama API host URL for embedding generation

OLLAMA_AUTO_PULL

Automatically pull missing Ollama models on startup (default: true)

OLLAMA_PULL_TIMEOUT_S

Timeout in seconds for pulling Ollama models (default: 900, range: 30-3600)

EMBEDDING_OLLAMA_TRUNCATE

Ollama embedding truncation mode: false (default) returns error when context exceeded, true enables silent truncation

EMBEDDING_OLLAMA_NUM_CTX

Ollama embedding context window size in tokens (default: 4096, range: 512-2097152)

EMBEDDING_MODEL

Embedding model name for semantic search

EMBEDDING_DIM

Embedding vector dimensions

EMBEDDING_TIMEOUT_S

Timeout in seconds for embedding generation API calls

EMBEDDING_RETRY_MAX_ATTEMPTS

Maximum number of retry attempts for embedding generation

EMBEDDING_RETRY_BASE_DELAY_S

Base delay in seconds between retry attempts (with exponential backoff)

EMBEDDING_MAX_CONCURRENT

Maximum concurrent embedding generation operations (default: 3, range: 1-20)

ENABLE_SUMMARY_GENERATION

Enable summary generation for stored context. Default true - server fails if dependencies not met. Set false to disable summaries.

SUMMARY_PROVIDER

Summary provider: ollama (default), openai, or anthropic

SUMMARY_MODEL

Summary generation model name (default: qwen3:0.6b)

SUMMARY_MAX_TOKENS

Maximum output tokens for summary generation (default: 4000, range: 50-16384). Increase if summaries are truncated by reasoning models

SUMMARY_TIMEOUT_S

Timeout in seconds for summary generation API calls

SUMMARY_RETRY_MAX_ATTEMPTS

Maximum number of retry attempts for summary generation

SUMMARY_RETRY_BASE_DELAY_S

Base delay in seconds between retry attempts (with exponential backoff)

SUMMARY_MAX_CONCURRENT

Maximum concurrent summary generation operations (default: 3, range: 1-20)

SUMMARY_PROMPT

Custom summarization prompt. Overrides the built-in default. Used as system message for the LLM.

SUMMARY_MIN_CONTENT_LENGTH

Minimum text content length in characters to trigger summary generation (default: 500, range: 0-10000). Set to 0 to always generate.

SUMMARY_OLLAMA_NUM_CTX

Ollama summary context window size in tokens (default: 32768, range: 512-2097152)

SUMMARY_OLLAMA_TRUNCATE

Ollama summary truncation mode: false (default) returns error when context exceeded, true enables silent truncation

SUMMARY_OPENAI_REASONING_EFFORT

Reasoning effort level for OpenAI reasoning models (default: low). Valid values vary by generation: gpt-5: low, medium, high; gpt-5.1+: none, low, medium, high, xhigh. Default low is universally valid across all generations

SUMMARY_ANTHROPIC_EFFORT

Effort level for Anthropic Claude models (default: none). Valid values: max, high, medium, low. Controls inference effort (adaptive thinking)

ANTHROPIC_API_KEYsecret

Anthropic API key for summary generation

ENABLE_FTS

Enable full-text search functionality

FTS_LANGUAGE

Language for FTS stemming (e.g., english, german, french)

FTS_RERANK_WINDOW_SIZE

Characters of context around each FTS match for reranking passage extraction (default: 750)

FTS_RERANK_GAP_MERGE

Merge FTS match regions within this character distance (default: 100)

ENABLE_HYBRID_SEARCH

Enable hybrid search combining FTS and semantic search with RRF fusion

HYBRID_RRF_K

RRF smoothing constant for hybrid search (default 60)

HYBRID_RRF_OVERFETCH

Multiplier for over-fetching results before RRF fusion (default: 2)

HYBRID_FTS_OR_THRESHOLD

Minimum significant query terms to switch hybrid FTS from AND to OR logic (default: 4)

SEARCH_DEFAULT_SORT_BY

Default sort order for search results: relevance (only 'relevance' supported in current version)

SEARCH_TRUNCATION_LENGTH

Maximum character length for truncated text_content in search results (default: 300, range: 50-1000)

ENABLE_CHUNKING

Enable text chunking for embedding generation (default: true)

CHUNK_SIZE

Target chunk size in characters (default: 1500)

CHUNK_OVERLAP

Overlap between chunks in characters (default: 150)

CHUNK_AGGREGATION

Chunk score aggregation method: max (only 'max' supported in current version)

CHUNK_DEDUP_OVERFETCH

Multiplier for over-fetching chunks before deduplication (default: 5)

ENABLE_RERANKING

Enable cross-encoder reranking of search results (default: true)

RERANKING_PROVIDER

Reranking provider (default: flashrank)

RERANKING_MODEL

Reranking model name (default: ms-marco-MiniLM-L-12-v2)

RERANKING_MAX_LENGTH

Maximum input length for reranking in tokens (default: 512)

RERANKING_OVERFETCH

Multiplier for over-fetching results before reranking (default: 4)

RERANKING_CACHE_DIR

Directory for caching reranking models

RERANKING_CHARS_PER_TOKEN

Estimated characters per token for passage size validation (default: 4.0, range: 2.0-8.0)

RERANKING_INTRA_OP_THREADS

ONNX Runtime intra-operation parallelism threads for reranking (default: 0 = auto-detect)

RERANKING_CPU_MEM_ARENA

Enable ONNX Runtime CPU memory arena for reranking (default: false)

RERANKING_BATCH_SIZE

Maximum passages per ONNX Runtime inference batch during reranking (default: 32)

EMBEDDING_PROVIDER

Embedding provider: ollama (default), openai, azure, huggingface, or voyage

OPENAI_API_KEYsecret

OpenAI API key for OpenAI embedding provider

OPENAI_API_BASE

Custom base URL for OpenAI-compatible APIs

OPENAI_ORGANIZATION

OpenAI organization ID

AZURE_OPENAI_API_KEYsecret

Azure OpenAI API key

AZURE_OPENAI_ENDPOINT

Azure OpenAI endpoint URL

AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME

Azure OpenAI embedding deployment name

AZURE_OPENAI_API_VERSION

Azure OpenAI API version (default: 2024-02-01)

HUGGINGFACEHUB_API_TOKENsecret

HuggingFace Hub API token for HuggingFace embedding provider

VOYAGE_API_KEYsecret

Voyage AI API key for Voyage embedding provider

VOYAGE_TRUNCATION

Voyage AI truncation mode: false (default) returns error when context exceeded, true enables silent truncation

VOYAGE_BATCH_SIZE

Voyage AI batch size for embedding requests

LANGSMITH_TRACING

Enable LangSmith tracing

LANGSMITH_API_KEYsecret

LangSmith API key

LANGSMITH_PROJECT

LangSmith project name

LANGSMITH_ENDPOINT

LangSmith API endpoint URL

METADATA_INDEXED_FIELDS

Comma-separated list of metadata fields to index (field:type format)

METADATA_INDEX_SYNC_MODE

Index sync mode: strict (fail), auto (sync), warn (log), additive (default, add missing only)

MCP_TRANSPORT

Transport mode: stdio for local, http for Docker/remote

FASTMCP_HOST

HTTP bind address (use 0.0.0.0 for Docker)

FASTMCP_PORT

HTTP port number

FASTMCP_STATELESS_HTTP

Enable stateless HTTP mode for horizontal scaling. Enabled by default as the server has no stateful MCP features. Set to false only if you need server-side MCP session tracking.

DISABLED_TOOLS

Comma-separated list of tools to disable (e.g., delete_context,update_context)

MCP_AUTH_TOKENsecret

Bearer token for HTTP authentication (required when using SimpleTokenVerifier)

MCP_AUTH_CLIENT_ID

Client ID to assign to authenticated requests

MCP_AUTH_PROVIDER

Authentication provider: none (default), simple_token

MCP_SERVER_INSTRUCTIONS

Custom server instructions text. Overrides built-in default. Set to empty string to disable.

Add to VS Code Add to Cursor

claude_desktop_config.json

json

{
  "mcpServers": {
    "mcp-context-server": {
      "command": "uvx",
      "args": [
        "mcp-context-server"
      ],
      "env": {
        "LOG_LEVEL": "<YOUR_LOG_LEVEL>",
        "STORAGE_BACKEND": "<YOUR_STORAGE_BACKEND>",
        "MAX_IMAGE_SIZE_MB": "<YOUR_MAX_IMAGE_SIZE_MB>",
        "MAX_TOTAL_SIZE_MB": "<YOUR_MAX_TOTAL_SIZE_MB>",
        "DB_PATH": "<YOUR_DB_PATH>",
        "POOL_MAX_READERS": "<YOUR_POOL_MAX_READERS>",
        "POOL_MAX_WRITERS": "<YOUR_POOL_MAX_WRITERS>",
        "POOL_CONNECTION_TIMEOUT_S": "<YOUR_POOL_CONNECTION_TIMEOUT_S>",
        "POOL_IDLE_TIMEOUT_S": "<YOUR_POOL_IDLE_TIMEOUT_S>",
        "POOL_HEALTH_CHECK_INTERVAL_S": "<YOUR_POOL_HEALTH_CHECK_INTERVAL_S>",
        "RETRY_MAX_RETRIES": "<YOUR_RETRY_MAX_RETRIES>",
        "RETRY_BASE_DELAY_S": "<YOUR_RETRY_BASE_DELAY_S>",
        "RETRY_MAX_DELAY_S": "<YOUR_RETRY_MAX_DELAY_S>",
        "RETRY_JITTER": "<YOUR_RETRY_JITTER>",
        "RETRY_BACKOFF_FACTOR": "<YOUR_RETRY_BACKOFF_FACTOR>",
        "SQLITE_FOREIGN_KEYS": "<YOUR_SQLITE_FOREIGN_KEYS>",
        "SQLITE_JOURNAL_MODE": "<YOUR_SQLITE_JOURNAL_MODE>",
        "SQLITE_SYNCHRONOUS": "<YOUR_SQLITE_SYNCHRONOUS>",
        "SQLITE_TEMP_STORE": "<YOUR_SQLITE_TEMP_STORE>",
        "SQLITE_MMAP_SIZE": "<YOUR_SQLITE_MMAP_SIZE>",
        "SQLITE_CACHE_SIZE": "<YOUR_SQLITE_CACHE_SIZE>",
        "SQLITE_PAGE_SIZE": "<YOUR_SQLITE_PAGE_SIZE>",
        "SQLITE_WAL_AUTOCHECKPOINT": "<YOUR_SQLITE_WAL_AUTOCHECKPOINT>",
        "SQLITE_BUSY_TIMEOUT_MS": "<YOUR_SQLITE_BUSY_TIMEOUT_MS>",
        "SQLITE_WAL_CHECKPOINT": "<YOUR_SQLITE_WAL_CHECKPOINT>",
        "SHUTDOWN_TIMEOUT_S": "<YOUR_SHUTDOWN_TIMEOUT_S>",
        "SHUTDOWN_TIMEOUT_TEST_S": "<YOUR_SHUTDOWN_TIMEOUT_TEST_S>",
        "QUEUE_TIMEOUT_S": "<YOUR_QUEUE_TIMEOUT_S>",
        "QUEUE_TIMEOUT_TEST_S": "<YOUR_QUEUE_TIMEOUT_TEST_S>",
        "CIRCUIT_BREAKER_FAILURE_THRESHOLD": "<YOUR_CIRCUIT_BREAKER_FAILURE_THRESHOLD>",
        "CIRCUIT_BREAKER_RECOVERY_TIMEOUT_S": "<YOUR_CIRCUIT_BREAKER_RECOVERY_TIMEOUT_S>",
        "CIRCUIT_BREAKER_HALF_OPEN_MAX_CALLS": "<YOUR_CIRCUIT_BREAKER_HALF_OPEN_MAX_CALLS>",
        "POSTGRESQL_CONNECTION_STRING": "<YOUR_POSTGRESQL_CONNECTION_STRING>",
        "POSTGRESQL_HOST": "<YOUR_POSTGRESQL_HOST>",
        "POSTGRESQL_PORT": "<YOUR_POSTGRESQL_PORT>",
        "POSTGRESQL_USER": "<YOUR_POSTGRESQL_USER>",
        "POSTGRESQL_PASSWORD": "<YOUR_POSTGRESQL_PASSWORD>",
        "POSTGRESQL_DATABASE": "<YOUR_POSTGRESQL_DATABASE>",
        "POSTGRESQL_POOL_MIN": "<YOUR_POSTGRESQL_POOL_MIN>",
        "POSTGRESQL_POOL_MAX": "<YOUR_POSTGRESQL_POOL_MAX>",
        "POSTGRESQL_POOL_TIMEOUT_S": "<YOUR_POSTGRESQL_POOL_TIMEOUT_S>",
        "POSTGRESQL_COMMAND_TIMEOUT_S": "<YOUR_POSTGRESQL_COMMAND_TIMEOUT_S>",
        "POSTGRESQL_MIGRATION_TIMEOUT_S": "<YOUR_POSTGRESQL_MIGRATION_TIMEOUT_S>",
        "POSTGRESQL_MAX_INACTIVE_LIFETIME_S": "<YOUR_POSTGRESQL_MAX_INACTIVE_LIFETIME_S>",
        "POSTGRESQL_MAX_QUERIES": "<YOUR_POSTGRESQL_MAX_QUERIES>",
        "POSTGRESQL_TCP_KEEPALIVES_IDLE_S": "<YOUR_POSTGRESQL_TCP_KEEPALIVES_IDLE_S>",
        "POSTGRESQL_TCP_KEEPALIVES_INTERVAL_S": "<YOUR_POSTGRESQL_TCP_KEEPALIVES_INTERVAL_S>",
        "POSTGRESQL_TCP_KEEPALIVES_COUNT": "<YOUR_POSTGRESQL_TCP_KEEPALIVES_COUNT>",
        "POSTGRESQL_STATEMENT_CACHE_SIZE": "<YOUR_POSTGRESQL_STATEMENT_CACHE_SIZE>",
        "POSTGRESQL_MAX_CACHED_STATEMENT_LIFETIME_S": "<YOUR_POSTGRESQL_MAX_CACHED_STATEMENT_LIFETIME_S>",
        "POSTGRESQL_MAX_CACHEABLE_STATEMENT_SIZE": "<YOUR_POSTGRESQL_MAX_CACHEABLE_STATEMENT_SIZE>",
        "POSTGRESQL_SSL_MODE": "<YOUR_POSTGRESQL_SSL_MODE>",
        "POSTGRESQL_SCHEMA": "<YOUR_POSTGRESQL_SCHEMA>",
        "ENABLE_SEMANTIC_SEARCH": "<YOUR_ENABLE_SEMANTIC_SEARCH>",
        "ENABLE_EMBEDDING_GENERATION": "<YOUR_ENABLE_EMBEDDING_GENERATION>",
        "OLLAMA_HOST": "<YOUR_OLLAMA_HOST>",
        "OLLAMA_AUTO_PULL": "<YOUR_OLLAMA_AUTO_PULL>",
        "OLLAMA_PULL_TIMEOUT_S": "<YOUR_OLLAMA_PULL_TIMEOUT_S>",
        "EMBEDDING_OLLAMA_TRUNCATE": "<YOUR_EMBEDDING_OLLAMA_TRUNCATE>",
        "EMBEDDING_OLLAMA_NUM_CTX": "<YOUR_EMBEDDING_OLLAMA_NUM_CTX>",
        "EMBEDDING_MODEL": "<YOUR_EMBEDDING_MODEL>",
        "EMBEDDING_DIM": "<YOUR_EMBEDDING_DIM>",
        "EMBEDDING_TIMEOUT_S": "<YOUR_EMBEDDING_TIMEOUT_S>",
        "EMBEDDING_RETRY_MAX_ATTEMPTS": "<YOUR_EMBEDDING_RETRY_MAX_ATTEMPTS>",
        "EMBEDDING_RETRY_BASE_DELAY_S": "<YOUR_EMBEDDING_RETRY_BASE_DELAY_S>",
        "EMBEDDING_MAX_CONCURRENT": "<YOUR_EMBEDDING_MAX_CONCURRENT>",
        "ENABLE_SUMMARY_GENERATION": "<YOUR_ENABLE_SUMMARY_GENERATION>",
        "SUMMARY_PROVIDER": "<YOUR_SUMMARY_PROVIDER>",
        "SUMMARY_MODEL": "<YOUR_SUMMARY_MODEL>",
        "SUMMARY_MAX_TOKENS": "<YOUR_SUMMARY_MAX_TOKENS>",
        "SUMMARY_TIMEOUT_S": "<YOUR_SUMMARY_TIMEOUT_S>",
        "SUMMARY_RETRY_MAX_ATTEMPTS": "<YOUR_SUMMARY_RETRY_MAX_ATTEMPTS>",
        "SUMMARY_RETRY_BASE_DELAY_S": "<YOUR_SUMMARY_RETRY_BASE_DELAY_S>",
        "SUMMARY_MAX_CONCURRENT": "<YOUR_SUMMARY_MAX_CONCURRENT>",
        "SUMMARY_PROMPT": "<YOUR_SUMMARY_PROMPT>",
        "SUMMARY_MIN_CONTENT_LENGTH": "<YOUR_SUMMARY_MIN_CONTENT_LENGTH>",
        "SUMMARY_OLLAMA_NUM_CTX": "<YOUR_SUMMARY_OLLAMA_NUM_CTX>",
        "SUMMARY_OLLAMA_TRUNCATE": "<YOUR_SUMMARY_OLLAMA_TRUNCATE>",
        "SUMMARY_OPENAI_REASONING_EFFORT": "<YOUR_SUMMARY_OPENAI_REASONING_EFFORT>",
        "SUMMARY_ANTHROPIC_EFFORT": "<YOUR_SUMMARY_ANTHROPIC_EFFORT>",
        "ANTHROPIC_API_KEY": "<YOUR_ANTHROPIC_API_KEY>",
        "ENABLE_FTS": "<YOUR_ENABLE_FTS>",
        "FTS_LANGUAGE": "<YOUR_FTS_LANGUAGE>",
        "FTS_RERANK_WINDOW_SIZE": "<YOUR_FTS_RERANK_WINDOW_SIZE>",
        "FTS_RERANK_GAP_MERGE": "<YOUR_FTS_RERANK_GAP_MERGE>",
        "ENABLE_HYBRID_SEARCH": "<YOUR_ENABLE_HYBRID_SEARCH>",
        "HYBRID_RRF_K": "<YOUR_HYBRID_RRF_K>",
        "HYBRID_RRF_OVERFETCH": "<YOUR_HYBRID_RRF_OVERFETCH>",
        "HYBRID_FTS_OR_THRESHOLD": "<YOUR_HYBRID_FTS_OR_THRESHOLD>",
        "SEARCH_DEFAULT_SORT_BY": "<YOUR_SEARCH_DEFAULT_SORT_BY>",
        "SEARCH_TRUNCATION_LENGTH": "<YOUR_SEARCH_TRUNCATION_LENGTH>",
        "ENABLE_CHUNKING": "<YOUR_ENABLE_CHUNKING>",
        "CHUNK_SIZE": "<YOUR_CHUNK_SIZE>",
        "CHUNK_OVERLAP": "<YOUR_CHUNK_OVERLAP>",
        "CHUNK_AGGREGATION": "<YOUR_CHUNK_AGGREGATION>",
        "CHUNK_DEDUP_OVERFETCH": "<YOUR_CHUNK_DEDUP_OVERFETCH>",
        "ENABLE_RERANKING": "<YOUR_ENABLE_RERANKING>",
        "RERANKING_PROVIDER": "<YOUR_RERANKING_PROVIDER>",
        "RERANKING_MODEL": "<YOUR_RERANKING_MODEL>",
        "RERANKING_MAX_LENGTH": "<YOUR_RERANKING_MAX_LENGTH>",
        "RERANKING_OVERFETCH": "<YOUR_RERANKING_OVERFETCH>",
        "RERANKING_CACHE_DIR": "<YOUR_RERANKING_CACHE_DIR>",
        "RERANKING_CHARS_PER_TOKEN": "<YOUR_RERANKING_CHARS_PER_TOKEN>",
        "RERANKING_INTRA_OP_THREADS": "<YOUR_RERANKING_INTRA_OP_THREADS>",
        "RERANKING_CPU_MEM_ARENA": "<YOUR_RERANKING_CPU_MEM_ARENA>",
        "RERANKING_BATCH_SIZE": "<YOUR_RERANKING_BATCH_SIZE>",
        "EMBEDDING_PROVIDER": "<YOUR_EMBEDDING_PROVIDER>",
        "OPENAI_API_KEY": "<YOUR_OPENAI_API_KEY>",
        "OPENAI_API_BASE": "<YOUR_OPENAI_API_BASE>",
        "OPENAI_ORGANIZATION": "<YOUR_OPENAI_ORGANIZATION>",
        "AZURE_OPENAI_API_KEY": "<YOUR_AZURE_OPENAI_API_KEY>",
        "AZURE_OPENAI_ENDPOINT": "<YOUR_AZURE_OPENAI_ENDPOINT>",
        "AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME": "<YOUR_AZURE_OPENAI_EMBEDDING_DEPLOYMENT_NAME>",
        "AZURE_OPENAI_API_VERSION": "<YOUR_AZURE_OPENAI_API_VERSION>",
        "HUGGINGFACEHUB_API_TOKEN": "<YOUR_HUGGINGFACEHUB_API_TOKEN>",
        "VOYAGE_API_KEY": "<YOUR_VOYAGE_API_KEY>",
        "VOYAGE_TRUNCATION": "<YOUR_VOYAGE_TRUNCATION>",
        "VOYAGE_BATCH_SIZE": "<YOUR_VOYAGE_BATCH_SIZE>",
        "LANGSMITH_TRACING": "<YOUR_LANGSMITH_TRACING>",
        "LANGSMITH_API_KEY": "<YOUR_LANGSMITH_API_KEY>",
        "LANGSMITH_PROJECT": "<YOUR_LANGSMITH_PROJECT>",
        "LANGSMITH_ENDPOINT": "<YOUR_LANGSMITH_ENDPOINT>",
        "METADATA_INDEXED_FIELDS": "<YOUR_METADATA_INDEXED_FIELDS>",
        "METADATA_INDEX_SYNC_MODE": "<YOUR_METADATA_INDEX_SYNC_MODE>",
        "MCP_TRANSPORT": "<YOUR_MCP_TRANSPORT>",
        "FASTMCP_HOST": "<YOUR_FASTMCP_HOST>",
        "FASTMCP_PORT": "<YOUR_FASTMCP_PORT>",
        "FASTMCP_STATELESS_HTTP": "<YOUR_FASTMCP_STATELESS_HTTP>",
        "DISABLED_TOOLS": "<YOUR_DISABLED_TOOLS>",
        "MCP_AUTH_TOKEN": "<YOUR_MCP_AUTH_TOKEN>",
        "MCP_AUTH_CLIENT_ID": "<YOUR_MCP_AUTH_CLIENT_ID>",
        "MCP_AUTH_PROVIDER": "<YOUR_MCP_AUTH_PROVIDER>",
        "MCP_SERVER_INSTRUCTIONS": "<YOUR_MCP_SERVER_INSTRUCTIONS>"
      }
    }
  }
}