MCP Gateway

The production platform for MCP tools.

Claude Desktop can connect to your internal tools — databases, filesystems, APIs, anything — through a single authenticated endpoint. You control who can use which tools, every action is logged, and no raw credentials ever leave your server.

Built-in tools: SQL query (Postgres, MySQL, SQLite, MSSQL), filesystem access. Custom tools: plug in anything that implements the MCP tool interface.

See it in action — short demo of Claude Desktop querying a database through MCP Gateway.

Table of Contents

• Overview
• Features
• Architecture
• Quick Start
• Configuration
• Authentication
• API Reference
• MCP Integration
• Role-Based Access Control
• Entra ID / SSO
• Development
• Troubleshooting
• Security
• Additional Documentation

Overview

MCP Gateway sits between AI assistants and your databases. It:

1. Authenticates users via password login, Microsoft Entra ID (Azure AD), or API keys
2. Enforces role-based access control (viewer / analyst / admin)
3. Exposes databases as MCP tools that AI assistants can discover and call
4. Translates natural language questions into SQL via Claude, executes queries, and summarizes results
5. Logs all activity to a structured audit trail

Claude Desktop / mcp-remote
        │
        │ MCP over SSE (OAuth 2.1 + PKCE)
        ▼
┌─────────────────────────────────────────────────────────┐
│                      MCP Gateway                        │
│                                                         │
│  ┌──────────┐  ┌──────────┐  ┌───────────────────────┐ │
│  │ Auth /   │  │  Admin   │  │   MCP SSE Endpoint    │ │
│  │ OAuth    │  │   UI     │  │  /t/{slug}/mcp/sse    │ │
│  └──────────┘  └──────────┘  └───────────────────────┘ │
│                                          │              │
│  ┌──────────────────────────────────────┐│              │
│  │         Tool Providers               ││              │
│  │  sql.py → get_schema / execute_sql   ││              │
│  └──────────────────────────────────────┘│              │
└─────────────────────────────────────────┼───────────────┘
                                          │ Decrypted DSN
                    ┌─────────────────────┼────────────────┐
                    │   Your Databases    │                │
                    │  Postgres  MySQL  MSSQL  SQLite      │
                    └────────────────────────────────────  ┘

What you get out of the box

For your organisation

• One URL for Claude Desktop — users authenticate once, access everything they're allowed
• Microsoft Entra ID SSO — roles assigned automatically from Azure AD groups
• Full audit trail — every tool call, every query, every login, who did what and when

For your tools

• Drop any MCP tool into the gateway and it inherits auth, RBAC, and logging automatically
• Per-tool role overrides — restrict SQL execution to analysts, filesystem writes to admins
• Bundled: SQL tools (4 databases), filesystem tools (read, write, search, tree)

For your security team

• No credentials on employee machines
• Tenant isolation — org A cannot see org B's tools or data
• API keys for CI/CD, OAuth 2.1 + PKCE for human users

Supported Databases

Filesystem Tools

• Sandboxed file read/write/search exposed as MCP tools
• Enabled via FILESYSTEM_ALLOWED_DIRS environment variable
• Read operations (analyst+): fs_read_file, fs_list_directory, fs_directory_tree, fs_search_files, fs_get_file_info
• Write operations (admin): fs_write_file, fs_create_directory, fs_move_file

Admin UI

• Web interface served at /admin/
• Manage connections, users, SSO config, API keys, and tool roles
• View audit logs, generated SQL, and query results

Architecture

Technology Stack

Dev tooling (requirements-dev.txt): pytest, pytest-asyncio, ruff, mypy. The pinned versions above are generated from requirements.txt — update both together.

Project Structure

app/
├── main.py               # FastAPI app setup, middleware, routing
├── config.py             # Environment config (Pydantic Settings)
├── database.py           # SQLAlchemy engine + session factory
├── api/
│   ├── auth.py           # POST /auth/login
│   ├── auth_entra.py     # Entra SSO (legacy admin UI paths)
│   ├── oauth.py          # OAuth 2.1 endpoints (/t/{slug}/oauth/*)
│   ├── connections.py    # DB connection CRUD
│   ├── query.py          # Natural language query endpoint
│   ├── tenants.py        # Tenant + user management
│   ├── tools.py          # Tool listing + role overrides
│   ├── mcp_sse.py        # MCP SSE transport
│   ├── api_keys.py       # API key management
│   └── audit_logs.py     # GET /audit-logs/ (admin)
├── core/
│   ├── auth.py           # JWT creation/validation, password hashing
│   ├── dependencies.py   # FastAPI dependency injection
│   ├── rbac.py           # Role hierarchy helpers
│   ├── security.py       # Fernet encrypt/decrypt
│   ├── api_keys.py       # API key generation + hashing
│   ├── limiter.py        # slowapi rate limiter setup
│   └── log_filter.py     # Health-check log noise filter
├── constants.py          # Non-tunable application-wide constants (pagination caps, etc.)
├── models/__init__.py    # All SQLAlchemy ORM models
├── schemas/__init__.py   # All Pydantic request/response schemas
├── services/
│   ├── entra.py          # Microsoft Graph API client
│   ├── llm.py            # Anthropic API (SQL gen + summarization)
│   ├── mcp_client.py     # Direct SQLAlchemy schema introspection + query execution
│   └── audit.py          # Audit log writer
└── tools/
    ├── __init__.py       # Tool provider framework + registry
    ├── sql.py            # DB schema + execute_sql tools
    ├── example.py        # Example custom tools
    └── filesystem.py     # Sandboxed file read/write/search tools

app/static/               # Built admin UI, served at /admin/ (generated by the
                          # frontend build; not edited by hand)

frontend/src/
├── main.tsx              # Vite entry point
├── App.tsx               # Root component, auth context, tab routing
├── api.ts                # API client, token management
├── types.ts              # TypeScript types (mirrors Pydantic schemas)
├── constants.ts          # Frontend constants (timeouts, retry config)
├── app.css               # Global styles
├── hooks/
│   └── useForm.ts        # Shared form state helper
└── components/
    ├── Login.tsx          # Sign-in form
    ├── Setup.tsx          # Tenant registration
    ├── Dashboard.tsx      # Tenant info + role display
    ├── Connections.tsx    # DB connection management
    ├── ConnectionCreateForm.tsx  # Add-connection form
    ├── ConnectionEditRow.tsx     # Inline connection editor
    ├── Query.tsx          # Natural language query UI
    ├── Users.tsx          # User management (admin)
    ├── SsoConfig.tsx      # Entra ID configuration (admin)
    ├── Tools.tsx          # Tool browser + role overrides
    ├── ToolGroup.tsx      # Grouped tool listing
    ├── ToolRoleOverride.tsx      # Per-tool role control
    ├── ApiKeys.tsx        # API key management
    ├── AuditLog.tsx       # Filterable audit log viewer (admin)
    ├── AuditLogFilters.tsx       # Audit log filter controls
    ├── AuditLogDetail.tsx        # Single audit entry detail
    ├── ConfirmModal.tsx   # Reusable confirmation dialog
    └── ErrorBoundary.tsx  # Top-level error boundary

alembic/versions/         # Database migrations
docs/                     # Guides (OAuth flow, deployment, audit logging, …)
tests/                    # pytest suite (SQLite in-memory, no services needed)

Database Schema

Tenants ─┬─► Users ──────► APIKeys
         ├─► APIKeys              (also a direct tenant_id FK, not only via Users)
         ├─► DBConnections
         ├─► TenantEntraConfig
         ├─► AuditLogs                (tenant_id and user_id both nullable)
         ├─► OAuthAuthorizationCodes
         ├─► OAuthRefreshTokens
         └─► ToolRoleOverrides

OAuthStates                          (no tenant_id FK — holds a plain
                                      tenant_slug string, since the row is
                                      created before the tenant is resolved)

Quick Start

Prerequisites

• Docker and Docker Compose
• An Anthropic API key (for the /query/ endpoint; not needed for raw MCP tool access)

1. Clone and configure

git clone <repo-url>
cd MCP-Gateway
cp .env.example .env

Edit .env:

# Required — generate unique values
SECRET_KEY=<random 64-char string>
ENCRYPTION_KEY=<random string, min 32 chars — longer is better>
POSTGRES_PASSWORD=<strong password>

# Required for natural language query
ANTHROPIC_API_KEY=sk-ant-...

# Update to your server's public URL in production
BASE_URL=http://localhost:8000

Generate secure random values:

# SECRET_KEY
python3 -c "import secrets; print(secrets.token_hex(32))"

# ENCRYPTION_KEY (min 32 chars; full key consumed via BLAKE2b derivation)
python3 -c "import secrets; print(secrets.token_hex(32))"

2. Start the stack

docker compose up -d

Services started:

• api on port 8000 (FastAPI + admin UI)
• db on port 5432 (PostgreSQL, internal only)

3. Register your first tenant

curl -s -X POST http://localhost:8000/tenants/ \
  -H "Content-Type: application/json" \
  -d '{
    "name": "My Organization",
    "slug": "my-org",
    "admin_email": "admin@example.com",
    "admin_password": "SuperSecret123!"
  }' | jq

The slug becomes part of your MCP URL: http://localhost:8000/t/my-org/mcp/sse

4. Open the admin UI

Navigate to http://localhost:8000/admin/ and sign in with your admin credentials.

5. Add a database connection

In the admin UI → Connections → Create connection, or via API:

TOKEN=$(curl -s -X POST http://localhost:8000/auth/login \
  -H "Content-Type: application/json" \
  -d '{"email":"admin@example.com","password":"SuperSecret123!"}' \
  | jq -r .access_token)

curl -s -X POST http://localhost:8000/connections/ \
  -H "Authorization: Bearer $TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "name": "Production DB",
    "db_type": "postgres",
    "connection_string": "postgresql://user:pass@host/mydb",
    "min_role": "viewer"
  }' | jq

6. Connect Claude Desktop

Add to your Claude Desktop MCP config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

{
  "mcpServers": {
    "my-org-gateway": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "http://localhost:8000/t/my-org/mcp/sse"
      ]
    }
  }
}

Restart Claude Desktop. It will open a browser window for OAuth login. After authenticating, Claude can use your database tools.

Configuration

All configuration is via environment variables. See .env.example for a template.

Required

POSTGRES_PASSWORD is also required, but by docker-compose, not by the application — it seeds the db service and is interpolated into DATABASE_URL. Compose fails fast if it, SECRET_KEY or ENCRYPTION_KEY are unset.

Optional

Entra ID

Authentication

Local login

POST /auth/login
Content-Type: application/json

{
  "email": "user@example.com",
  "password": "SuperSecret123!",
  "tenant_slug": "my-org"   // optional, disambiguates if same email is in multiple tenants
}

Response:

{
  "access_token": "eyJ...",
  "token_type": "bearer"
}

Include the token in subsequent requests:

Authorization: Bearer eyJ...

Access tokens expire after 15 minutes by default. Use the OAuth token endpoint with a refresh token to get a new pair.

API keys

Generate a key (requires authentication):

curl -s -X POST http://localhost:8000/api-keys \
  -H "Authorization: Bearer $TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"name": "CI pipeline"}' | jq

The raw_key in the response is shown once only — store it immediately:

{
  "id": "...",
  "name": "CI pipeline",
  "prefix": "mgw_abcd1234",
  "raw_key": "mgw_abcd1234...",
  "created_at": "..."
}

Use via query parameter:

curl "http://localhost:8000/connections/?api_key=mgw_abcd1234..."

OAuth 2.1 (MCP browser clients)

The gateway implements RFC 8414 OAuth discovery. MCP clients follow this flow automatically:

1. Client connects to /t/{slug}/mcp/sse — receives 401 + WWW-Authenticate header pointing to the OAuth discovery URL
2. Client fetches /.well-known/oauth-authorization-server/t/{slug}
3. Client registers dynamically via POST /t/{slug}/oauth/register
4. Client opens browser → user logs in at /t/{slug}/oauth/authorize
5. Client exchanges code + PKCE verifier for tokens via POST /t/{slug}/oauth/token
6. Client reconnects with Bearer token

No manual configuration needed — just point mcp-remote at your tenant's SSE URL.

API key auth (MCP non-interactive clients)

For CI/CD, scripts, or when you want to skip the browser login, pass an API key in the URL:

{
  "mcpServers": {
    "gateway": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "http://localhost:8000/t/my-org/mcp/sse?api_key=mgw_..."]
    }
  }
}

The SSE endpoint validates the key and establishes the session directly — no OAuth flow, no browser window. See API Keys for details.

API Reference

All management endpoints are available at both their canonical paths (e.g. /tenants/) and the versioned prefix /api/v1/ (e.g. /api/v1/tenants/). The unversioned paths are kept for backward compatibility with the current frontend; new integrations should use /api/v1/. Protocol-defined routes (OAuth /t/{slug}/…, MCP /t/{slug}/…, /.well-known/) and infrastructure routes (/health, /admin) are intentionally unversioned.

The curl examples below use the unversioned paths so they match the running admin UI. Prefix them with /api/v1 for new integrations.

Authentication

Tenants & Users

Entra ID / SSO

Register tenant:

curl -X POST http://localhost:8000/tenants/ \
  -H "Content-Type: application/json" \
  -d '{
    "name": "Acme Corp",
    "slug": "acme",
    "admin_email": "admin@acme.com",
    "admin_password": "SuperSecret123!"
  }'

Create user:

curl -X POST http://localhost:8000/tenants/users \
  -H "Authorization: Bearer $TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "email": "analyst@acme.com",
    "password": "AnotherSecret456!",
    "role": "analyst"
  }'

Roles: viewer (default), analyst, admin. Passwords must be at least 12 characters.

Connections

Add connection:

curl -X POST http://localhost:8000/connections/ \
  -H "Authorization: Bearer $TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "name": "Sales DB",
    "db_type": "postgres",
    "connection_string": "postgresql://user:pass@db-host/sales",
    "description": "Production sales database",
    "min_role": "analyst"
  }'

min_role controls who can query this connection. Users below this role cannot see or use it.

Natural Language Query

Query:

curl -X POST http://localhost:8000/query/ \
  -H "Authorization: Bearer $TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "connection_id": "...",
    "question": "What are the top 5 customers by total revenue this quarter?"
  }'

Response:

{
  "sql_generated": "SELECT customer_name, SUM(amount) AS total FROM orders ...",
  "result": [
    {"customer_name": "Acme Corp", "total": 125000}
  ],
  "summary": "The top customer this quarter is Acme Corp with $125,000 in revenue."
}

The query pipeline:

1. Fetches schema from the database
2. Sends schema + question to Claude → generates SQL
3. Validates SQL is a SELECT statement (blocks all writes)
4. Executes SQL (30-second timeout)
5. Sends question + results to Claude → generates summary

Tools

List tools:

curl http://localhost:8000/tools/ \
  -H "Authorization: Bearer $TOKEN"

Response:

[
  {
    "tool_name": "execute_sql_sales-db_abcd1234",
    "description": "Execute SQL on Sales DB",
    "connection_id": "...",
    "default_min_role": "analyst",
    "effective_min_role": "admin",
    "accessible": false
  }
]

Override tool role:

# Restrict to admin only
curl -X PATCH "http://localhost:8000/tools/execute_sql_sales-db_abcd1234" \
  -H "Authorization: Bearer $TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"min_role": "admin"}'

# Reset to connection default
curl -X PATCH "http://localhost:8000/tools/execute_sql_sales-db_abcd1234" \
  -H "Authorization: Bearer $TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"min_role": null}'

API Keys

# Generate (expires_at is optional)
curl -X POST http://localhost:8000/api-keys \
  -H "Authorization: Bearer $TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"name": "CI pipeline", "expires_at": "2027-01-01T00:00:00Z"}'

# List
curl http://localhost:8000/api-keys \
  -H "Authorization: Bearer $TOKEN"

# Revoke
curl -X DELETE "http://localhost:8000/api-keys/{id}" \
  -H "Authorization: Bearer $TOKEN"

Audit Logs

# All events (paginated)
curl "http://localhost:8000/audit-logs/?limit=50" \
  -H "Authorization: Bearer $ADMIN_TOKEN"

# Filter by event type (comma-separated prefixes)
curl "http://localhost:8000/audit-logs/?event_prefix=query,tool&limit=100" \
  -H "Authorization: Bearer $ADMIN_TOKEN"

Query parameters: skip (offset, default 0), limit (max 200, default 50), event_prefix (comma-separated, e.g. query, login, fs).

Health Check

curl http://localhost:8000/health
# {"status": "ok"}

Returns 503 if the database is unreachable. Suitable for Kubernetes liveness and readiness probes.

MCP Integration

Connecting Claude Desktop

Install mcp-remote:

npm install -g mcp-remote

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "gateway": {
      "command": "npx",
      "args": ["mcp-remote", "http://localhost:8000/t/my-org/mcp/sse"]
    }
  }
}

On first connection, a browser window opens for OAuth login. After authenticating, mcp-remote caches the tokens and reconnects automatically. Tokens refresh silently in the background.

Available MCP Tools

For each active database connection the user can access, the gateway exposes two tools:

get_schema_{connection-name}_{id} Returns the full database schema (tables, columns, types, constraints, indexes). Claude calls this first to understand the data structure before generating SQL.

execute_sql_{connection-name}_{id} Executes a SELECT statement and returns rows as JSON. Any non-SELECT statement is rejected (INSERT, UPDATE, DELETE, DROP, etc.). Execution timeout: 30 seconds.

list_connections Returns all database connections the user can access with their names and types.

get_current_time Returns the current UTC time in ISO 8601 format. Available to all roles.

Filesystem tools (only when FILESYSTEM_ALLOWED_DIRS is configured):

SSE Endpoints

OAuth Discovery Endpoints

Build your own tools

Any Python function becomes an authenticated, audited MCP tool:

# app/tools/my_tool.py
from app.tools import register_tool, ToolContext
from mcp.types import TextContent

@register_tool(name="my_custom_tool", min_role="analyst")
async def my_tool(arguments: dict, ctx: ToolContext) -> list[TextContent]:
    # ctx.user gives you the authenticated user + their role
    # ctx.db gives you the database session
    result = do_something(arguments["input"])
    return [TextContent(type="text", text=result)]

Restart the gateway. The tool appears in Claude Desktop automatically, with auth and audit logging included.

Role-Based Access Control

Three roles in ascending order of permission: viewer → analyst → admin

Default permissions

Per-connection roles

Each connection has a min_role. Users below this role cannot see or use that connection, or the MCP tools it generates.

Example: A sensitive production database with min_role: admin is invisible to analysts and viewers entirely — it won't appear in /connections/ or /tools/, and its MCP tools won't be listed.

Per-tool overrides

Admins can override the effective minimum role for any MCP tool independently of the connection's min_role:

# Lock down SQL execution on prod, but keep schema browsing open
PATCH /tools/execute_sql_prod-db_abcd1234  {"min_role": "admin"}
PATCH /tools/get_schema_prod-db_abcd1234   {"min_role": "analyst"}

# Reset to connection default
PATCH /tools/execute_sql_prod-db_abcd1234  {"min_role": null}

Entra ID / SSO

Setup in Azure AD

1. Register an application in Azure Active Directory (App registrations → New registration)
2. Add redirect URIs:
   • http://<gateway-url>/auth/entra/callback (admin UI SSO)
   • http://<gateway-url>/t/<slug>/oauth/entra-callback (MCP OAuth flow)
3. Under API permissions, add:
   • Delegated (Microsoft Graph): openid, profile, email, User.Read, GroupMember.Read.All
   • Application (Microsoft Graph): GroupMember.Read.All (required for role sync during token refresh)
   • Grant admin consent for both the delegated and the application GroupMember.Read.All
4. Create a Client secret (Certificates & secrets → New client secret)
5. Note your Azure tenant ID, app client ID, and the client secret value

Configure in MCP Gateway

Via admin UI: SSO Config tab, or via API:

curl -X POST http://localhost:8000/auth/entra/config \
  -H "Authorization: Bearer $ADMIN_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "entra_tenant_id": "your-azure-tenant-uuid",
    "client_id": "your-app-client-id",
    "client_secret": "your-client-secret",
    "admin_group_id": "azure-group-uuid-for-admins",
    "analyst_group_id": "azure-group-uuid-for-analysts",
    "viewer_group_id": "azure-group-uuid-for-viewers"
  }'

Group IDs are optional — configure only what you need. Users in multiple mapped groups get the highest role.

Login flow

Direct users to: http://<gateway>/auth/entra/login?tenant_slug=<slug>

The gateway redirects to Microsoft. After authentication it:

1. Fetches the user's profile from Microsoft Graph (/me)
2. Fetches transitive group memberships (/me/transitiveMemberOf)
3. Maps groups to roles (highest wins: admin > analyst > viewer)
4. Creates the user if they don't exist (just-in-time provisioning)
5. Returns a JWT

Development

Local setup (without Docker)

# Python environment
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements-dev.txt   # includes requirements.txt plus pytest/ruff/mypy

# Configure
cp .env.example .env
# Edit .env: set DATABASE_URL to a local Postgres instance (or use SQLite for quick testing)

# Run migrations
alembic upgrade head

# Start API (with auto-reload)
uvicorn app.main:app --reload --port 8000

Frontend development

cd frontend
npm install
npm run dev   # Vite dev server on port 5173 with API proxy

The Vite dev server proxies all API paths to http://localhost:8000, so the frontend and API can run independently during development.

Sample databases

docker compose --profile dev up -d

Starts pre-seeded sample databases:

• sample_postgres on port 5433 → postgresql://sampleuser:samplepass@localhost:5433/sampledb
• sample_mysql on port 3307 → mysql+pymysql://sampleuser:samplepass@localhost:3307/sampledb

Add these as connections in the admin UI to explore the natural language query feature.

Running tests

# Full suite (no external services required — uses SQLite in-memory)
.venv/bin/python -m pytest

# Verbose output
.venv/bin/python -m pytest -v

# Single test file
.venv/bin/python -m pytest tests/test_connections_api.py -v

# Single test
.venv/bin/python -m pytest tests/test_oauth.py::test_token_exchange_valid_code_returns_tokens -v

Database migrations

# Apply all pending migrations
alembic upgrade head

# Create a new migration after changing models/__init__.py
alembic revision --autogenerate -m "describe your change"

# Roll back one step
alembic downgrade -1

# Show history
alembic history --verbose

Building for production

# Build frontend static files
cd frontend && npm run build && cd ..

# The Dockerfile builds both in a multi-stage build:
docker build -t mcp-gateway .
docker compose up -d

Troubleshooting

"SECRET_KEY must be set" / "ENCRYPTION_KEY must be set"

docker-compose uses ${VAR:?error message} syntax — it fails fast if these are not set. Generate them:

python3 -c "import secrets; print(secrets.token_hex(32))"           # SECRET_KEY
python3 -c "import secrets; print(secrets.token_hex(32))"           # ENCRYPTION_KEY

Add to your .env file before running docker compose up.

API returns 503 on health check

The database is not reachable. Check:

docker compose ps        # are all containers running?
docker compose logs db   # any Postgres startup errors?
docker compose restart api  # restart API if db was slow to start

Claude Desktop doesn't open a browser for login

Ensure mcp-remote is installed: npm install -g mcp-remote. Check that BASE_URL in .env matches the URL you put in claude_desktop_config.json. A mismatch causes the OAuth callback to fail silently.

Query returns "INVALID_QUERY"

The LLM could not generate a valid SELECT for your question, or it generated a non-SELECT statement (which is blocked). Try:

• Be more specific in your question
• Ensure your database has descriptive column and table names
• Check that ANTHROPIC_API_KEY is set and valid

Entra login returns 400 "Entra ID not configured for this tenant"

The tenant doesn't have an Entra ID configuration. Add one via Admin UI → SSO Config or POST /auth/entra/config.

Entra callback returns 403 "Not a member of any authorized group"

The Azure AD user is not in any of the three groups configured for the tenant. Either:

• Add the user to one of the mapped groups in Azure AD
• Update the group IDs in the gateway config to match the user's actual groups (POST /auth/entra/config)

Refresh token rejected as "Invalid or expired"

Refresh tokens are single-use — each use issues a new pair and revokes the old one. If two requests attempt to use the same refresh token simultaneously, the second fails. Re-authenticate to get a fresh pair.

Rate limit 429 responses

Wait 60 seconds for the limit window to reset.

Limits are keyed on the client IP. Two deployment caveats:

• Without REDIS_URL the limiter stores counters in process memory, so each uvicorn worker enforces its own copy. With WEB_CONCURRENCY=4 the effective limit is roughly four times the value above. Set REDIS_URL for shared enforcement.
• Behind a reverse proxy, set TRUST_PROXY_HEADERS=true so the key comes from X-Forwarded-For. Without it every request appears to originate from the proxy and all clients share a single bucket. Do not enable it unless a trusted proxy actually sets the header — clients can otherwise spoof it.

Security

Credentials at rest

HTTP security headers

All responses include:

• X-Content-Type-Options: nosniff
• X-Frame-Options: DENY
• Strict-Transport-Security: max-age=31536000
• Cache-Control: no-store on auth endpoints

OAuth protections

• PKCE S256 — prevents authorization code interception attacks
• Single-use authorization codes — codes expire after 5 minutes and are deleted on first use
• Rotating refresh tokens — each refresh revokes the previous token (prevents replay)
• Loopback-only redirect URIs — only localhost, 127.0.0.1, and ::1 are accepted as redirect targets (per RFC 8252)

SQL safety

The execute_sql MCP tool rejects all non-SELECT statements via sqlglot AST parsing before any query reaches the database. INSERT, UPDATE, DELETE, DROP, CREATE, ALTER, TRUNCATE, and EXEC are all blocked regardless of how they are formatted.

Tenant isolation

All database queries are scoped to current_user.tenant_id. Foreign key constraints enforce isolation at the schema level — there is no code path that allows data from one tenant to appear in another tenant's responses.

Rotating secrets

Rotating SECRET_KEY: All existing JWTs immediately become invalid. Users must re-authenticate. Refresh tokens (hashed separately) are also invalidated. API keys are also invalidated — they are HMAC-keyed with SECRET_KEY, so existing keys must be revoked and re-issued after rotation.

Rotating ENCRYPTION_KEY: Requires re-encrypting all stored connection strings and Entra client secrets with the new key before the old key is removed. Plan this as a maintenance window — the gateway cannot serve connections during the rotation.

Audit log

All significant events are written to the audit_logs table:

Query the audit log:

curl "http://localhost:8000/audit-logs/?limit=100" \
  -H "Authorization: Bearer $ADMIN_TOKEN" | jq

Additional Documentation

What's Coming — SaltMine AI

MCP Gateway is the open source foundation. A managed platform called SaltMine AI is currently in development, built on top of this project, following the same security principles and aimed at business teams who want to query their data without any infrastructure to manage.

Planned features include:

• Multi-datasource queries across databases, data lakes, and APIs in a single question
• Business-user chat interface with visualisations — no SQL knowledge required
• Data privacy controls with field-level masking and query-level audit trails
• Zero Vendor Lock-in on AI
• Understands Your Business Language

If you're interested in learning more, have a use case you'd like to discuss, or just want to follow the progress:

• 📧 salterisp@gmail.com
• 💼 linkedin.com/in/panagiotissalteris