WAF++ MCP Bridge

A secure Model Context Protocol server that exposes WAFpass (WAF++ backend) REST endpoints as MCP tools for AI assistants.

Architecture

sequenceDiagram
    actor User
    participant AI_Client as AI Client (MCP Host)
    participant MCP as wafpass-mcp (this bridge)
    participant IdP as Keycloak / IdP
    participant API as wafpass-server

    User->>IdP: Authenticate (OIDC/SAML)
    IdP-->>User: IdP tokens
    User->>API: Exchange IdP tokens for WAF++ JWT
    API-->>User: WAF++ access token

    User->>AI_Client: Start AI session
    AI_Client->>MCP: SSE /sse with Authorization: Bearer <WAF++ token>
    MCP->>API: Introspect token (GET /auth/me) or verify HS256 locally
    API-->>MCP: User profile {id, username, role, is_active}

    alt Token invalid
        MCP-->>AI_Client: 401 Unauthorized
    else Token valid
        AI_Client->>MCP: tools/list
        MCP-->>AI_Client: Tools filtered by user's role

        AI_Client->>MCP: tools/call (e.g. list runs)
        MCP->>MCP: Validate arguments against OpenAPI schema
        MCP->>API: Proxy request with same Bearer token
        API-->>MCP: Backend response (row-level auth applied)
        MCP-->>AI_Client: MCP TextContent(result)
    end

Related MCP server: mcp_sdk_eyra_accelerator

Security model

• IdP-agnostic: The bridge does not talk to Keycloak/Entra/Okta directly. It trusts tokens issued by the upstream wafpass-server, which handles the actual OIDC/SAML flows.

• OIDC pass-through: The AI client inherits the user's WAF++ SSO context by presenting the same Bearer token.

• Least privilege: tools/list is filtered by the authenticated user's role. Unauthorized tools are invisible.

• Context propagation: Every backend call forwards the original Authorization: Bearer header so WAFpass can apply endpoint- and row-level authorization.

• Strict validation: Tool arguments are validated against Pydantic models generated from the WAFpass OpenAPI spec.

Quick start

Python (local)

# 1. Install dependencies
pip install -e ".[dev]"

# 2. Configure
cp .env.example .env
# Edit .env to point at your WAFpass backend and choose token validation mode.

# 3. Start the bridge
python -m wafpass_mcp.main

The SSE endpoint is available at http://localhost:3001/sse.

Docker Compose (local development)

For local development the bridge can also be built from its Dockerfile and started alongside the rest of the WAF++ stack. From the repository root:

docker compose up -d wafpass-mcp

The service builds from ./wafpass-mcp, depends on wafpass-server, and exposes port 3001. Override WAFPASS_TOKEN_MODE or WAFPASS_JWT_SECRET via .env if you are not using the default introspection mode.

Release artifact: wafpass-mcp is released as a Python package on PyPI. The Dockerfile exists only for local convenience in docker-compose.yml; the release workflow does not publish a Docker image.

Configuration

Token validation modes

• introspection (recommended): The bridge calls GET /auth/me on WAFpass for every new SSE connection. This is IdP-agnostic, works with any backend secret rotation, and lets WAFpass revoke tokens instantly.

• jwt_secret: The bridge verifies the HS256 signature locally. Faster but requires sharing the secret and does not detect token revocation.

Tool registration and role filtering

At startup the bridge fetches http://<WAFPASS_API_BASE_URL>/openapi.json and converts each safe operation into an MCP tool:

• Tool names use the OpenAPI operationId when present (e.g. list_runs_runs_get, get_run_runs__run_id__get), otherwise a generated name like get_health.

• Path parameters become required tool arguments.

• Query parameters become optional tool arguments.

• Request bodies become top-level tool arguments.

• Operations in SKIP_OPERATIONS (login, OIDC callbacks, etc.) are never exposed.

• ROLE_MAP assigns a minimum required role per endpoint. The list_tools handler removes tools the caller's role cannot execute.

Example tool call flow

Authenticated as an engineer:

{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/list"
}

The response includes list_runs_runs_get, get_run_runs__run_id__get, get_runs_id_findings_get, etc., but not admin-only tools like get_sso_config_sso_config_get.

Verified against the live ../docker-compose.yml stack: the bridge loads 113 tools for admin, 102 tools for clevel, and intermediate counts for higher roles.

Calling list_runs_runs_get:

{
  "jsonrpc": "2.0",
  "id": 2,
  "method": "tools/call",
  "params": {
    "name": "list_runs_runs_get",
    "arguments": {"limit": 5}
  }
}

The bridge proxies this to GET /runs?limit=5 with the user's Bearer token. WAFpass applies group-based row filtering and returns only the runs the user may see.

Both the SSE GET /sse and every POST /messages/ request must carry the same Authorization: Bearer <WAF++ token> header.

Development

pytest
ruff check wafpass_mcp tests scripts
mypy wafpass_mcp tests scripts

These same checks run in GitHub Actions:

• .github/workflows/ci.yml — runs on every pull request and push to main.

• .github/workflows/release.yml — builds, runs lint/type/tests, publishes to PyPI, and creates a GitHub release on every push to main.

Test scripts

scripts/ contains standalone MCP-over-SSE clients for manual end-to-end checks:

# list all tools visible to the token's role
python scripts/mcp_list_tools.py <WAF++_TOKEN>

# call one tool and print the backend response
python scripts/mcp_call_tool_test.py <WAF++_TOKEN>

# minimal client that prints init + first 10 tools
python scripts/mcp_client_test.py <WAF++_TOKEN>

Deployment notes

• Run behind a TLS-terminating reverse proxy in production.

• Prefer WAFPASS_TOKEN_MODE=introspection so the bridge does not need to store the JWT secret.

• Keep the bridge on a separate network path from the IdP; it only needs outbound access to WAFpass.

Contributing and security

• CONTRIBUTING.md — how to set up local development, run tests, and open pull requests.

• TECH.md — architecture, request lifecycle, OpenAPI mapping, and token validation details.

• SECURITY.md — supported versions, vulnerability reporting, and security-sensitive configuration.

• CODE_OF_CONDUCT.md — community standards and enforcement.

• LICENSE — Apache License 2.0.