Owns the FastMCP transport, pre-execution policy, and durable audit boundary.
__main__.py stdio / HTTP launcher and flag parsing
tools/base.py McpToolSpec and the BaseMcpTool contract
tools/retrieval_inputs.py shared tenant and retrieval argument schemas
tools/vector_search.py vector_search
tools/graph_search.py graph_triplet_search, graph_path_search, graph_subgraph_search
server/base.py server protocol
server/server.py tool registry, policy enforcement, dispatch
server/http.py loopback Streamable HTTP transport and status UI
server/http_auth.py owner-only bearer and tenant authorization
server/static/status.html status page and Tool Playground
configuration/ config/mcp.yaml loading, validation, env overrides
policy.py compiled safety ceilings
audit.py JSONL audit writer
defaults/mcp.yaml packaged fallback configuration
vector_search,
graph_triplet_search, graph_path_search, and graph_subgraph_search.
Chat and agent are not MCP tools; they are served only through the HarborRAG
REST API’s /v1/chat/completions and /v1/agent/completions endpoints.Install dependencies before running the launcher. The stdio and HTTP transports
both configure the durable conversation memory, which runs control-plane
database migrations via Alembic/asyncpg on startup; the retrieval tools call
embedding providers through LiteLLM, read/write documents through the S3/MinIO
object store, and query the Qdrant and FalkorDB backends. The mcp extra
alone is not enough:
uv sync --package harborrag-mcp-server --extra mcp \
--package harborrag-adapters --extra control-plane --extra postgres \
--extra llm --extra s3 --extra qdrant --extra falkordb
Run the standard stdio transport:
scripts/deployment/mcp.sh
Build the equivalent non-root container and verify its advertised registry:
docker build -f deploy/docker/Dockerfile.mcp -t harborrag-mcp .
docker run --rm harborrag-mcp --check
For a real stdio MCP session, run the image with an attached stdin, the
database/model environment files, and connectivity to the configured data
services. The image entrypoint is python -m harborrag_mcp_server, so MCP
arguments such as --check or --transport http are forwarded directly.
The launcher loads the protected database, model, API, and MCP environment files,
constructs the shared HarborRAG runtime, and communicates over stdin/stdout.
It is a child process launched by an MCP client, not an interactive terminal or
HTTP service. Run scripts/deployment/mcp.sh --check yourself to perform a real
MCP handshake and print the four advertised tool names without connecting to
providers.
Run an authenticated local Streamable HTTP endpoint and status page:
scripts/deployment/dev.sh bootstrap
scripts/deployment/mcp.sh --http
The browser status page is http://127.0.0.1:8010/, health is available at
http://127.0.0.1:8010/healthz, and MCP clients connect to
http://127.0.0.1:8010/mcp with the token in an Authorization: Bearer
header. Override the loopback host, port, or path with --host, --port, and
--path; this local static-token mode intentionally rejects non-loopback
hosts. The bootstrap command generates the token in the Git-ignored
env/.env.mcp file with mode 0600; override that path with MCP_ENV_FILE.
Open the browser page, enter the bearer token, provide a tenant ID, and select Load tools. The page builds an argument form from the effective JSON schema and executes the selected tool with Run tool. Tenant-specific enablement, defaults and limits are applied before execution, and each attempt is audited.
Chat and agent are not part of this catalog; use the HarborRAG REST API’s
/v1/chat/completions and /v1/agent/completions endpoints instead.
The owner-only browser API is:
GET /api/tools?tenant_id=<tenant> for the effective catalog;POST /api/tools/call with {"name": "...", "arguments": {...}} to run a tool.The API is a local administrative convenience, not a second unprotected tool transport. It requires the same owner bearer token as configuration editing.
The versioned configuration lives at config/mcp.yaml by default. Set
HARBORRAG_MCP_CONFIG_PATH or pass --config after --http to select another
file. The configuration controls:
Required fields and tenant_id can never receive defaults, unknown tools and
fields are rejected, and configured limits cannot exceed each tool’s compiled
safety ceiling. Tenant IDs are canonicalized before policy lookup and execution,
and configuration tenant keys may not contain surrounding whitespace. These environment variables override the file without being
persisted back into it:
HARBORRAG_MCP_MAX_RESULTSHARBORRAG_MCP_MAX_ARGUMENT_BYTESHARBORRAG_MCP_MAX_OUTPUT_BYTESHARBORRAG_MCP_DISABLED_TOOLS (comma-separated tool names)In HTTP mode, enter the bearer token in the status page and use Load,
Save, or Reload YAML. The owner-only API is GET/PUT /api/config and
POST /api/config/reload. Saves use revision checks and atomic replacement;
audit records contain only revision hashes, never configuration values.
Defaults, limits, budgets, and tenant overrides are enforced immediately.
Changes to global advertised tool schemas or enabled tools set
restart_required=true; restart the MCP process so connected clients receive
the new advertised catalog.
Network transports must be constructed with a FastMCP authentication provider.
MCP tool calls require an authenticated token carrying role=owner and an
explicit tenants claim containing the requested tenant. Global owners must
carry the deliberate wildcard claim tenants=["*"].
The explicit local override is for stdio only and opens no listener.
Tests for this package live in:
packages/harborrag-mcp-server/tests/
Run from the repository root:
pytest packages/harborrag-mcp-server/tests
Keep new tests in this folder when adding or changing behavior owned by this package.