rocketchat-mcp-server
A FastMCP (Python) server for Rocket.Chat with 28 tools covering channels, messages, threads, DMs, files, users, and analytics, plus AI governance, observability, and security features.
README
rocketchat-mcp-server
A FastMCP (Python) server for Rocket.Chat — 28 tools with AI governance,
observability, and monitoring built in. A ground-up rewrite of the Go server
rocketchat-mcp-go, applying the systematic MCP-server approach in
ADR 0001.
Highlights
- 28 tools across channels, messages, threads, DMs, files, users, and analytics.
- Token economy: message grouping (consecutive same-user merge), compact mode, parallel thread expansion, server-side channel digests.
- Governance:
READ_ONLYmode (write tools hidden), per-toolreadOnlyHint/destructiveHintannotations, optional human-in-the-loop approval for consequential writes, structured audit events, and a bearer-token gateway. - Observability: structlog JSON logs with secret redaction, per-tool logging
middleware,
/metrics(Prometheus), optional OpenTelemetry tracing, and/healthz+/readyz. - Security: SSRF host guard + 25 MB cap on downloads, filename escaping on uploads, URL scheme validation, bounded pagination. See the security review.
Quick start
uv sync --extra dev --extra metrics
export ROCKETCHAT_URL="https://chat.example.com"
export ROCKETCHAT_AUTH_TOKEN="<personal access token>"
export ROCKETCHAT_USER_ID="<user id>"
# HTTP (Streamable) transport on :8000, endpoint /mcp
uv run rocketchat-mcp --mode http
# stdio transport (local MCP clients)
uv run rocketchat-mcp --mode stdio
Configuration
Go-compatible env vars are preserved: ROCKETCHAT_URL, ROCKETCHAT_AUTH_TOKEN,
ROCKETCHAT_USER_ID, READ_ONLY, MCP_PORT. New settings use the RCMCP_
prefix — notably RCMCP_APPROVE_WRITES, RCMCP_GATEWAY_TOKENS
(token:principal,...), RCMCP_READ_ONLY, RCMCP_ENABLE_METRICS,
RCMCP_LOG_JSON. See config.py.
Security note: the HTTP transport should sit behind the bearer-token gateway (
RCMCP_GATEWAY_TOKENS) and TLS termination (Traefik/nginx). The server holds a single Rocket.Chat identity — every authorised caller shares its permission ceiling.
Development
uv run ruff check .
uv run mypy src
uv run pytest -m "not live" # default: respx-mocked, no live server needed
Live integration tests
tests/test_live.py exercises the server against a real Rocket.Chat. They
are excluded from the default suite and CI, and only touch a dedicated test
channel (default mcp-test), cleaning up every message they create. The
configured account must be a member of that channel.
RCMCP_LIVE=1 RCMCP_TEST_CHANNEL=mcp-test \
ROCKETCHAT_URL=... ROCKETCHAT_AUTH_TOKEN=... ROCKETCHAT_USER_ID=... \
uv run pytest -m live
Pin/react tests skip automatically when the account lacks those permissions.
Deployment
- Docker / Podman:
Dockerfilebuilds a non-root OCI image. A systemd quadlet unit is indeploy/quadlet/. - Release: tag
v*triggers the multi-arch nexus push workflow.
Architecture Decision Records
This server is built to a documented, systematic standard. The design rationale
lives in ADRs under docs/adr/:
- ADR 0001 — A systematic approach to building MCP servers — the house standard for architecture, AI governance, observability, and engineering practice that this repository implements.
- ADR 0002 — Per-principal upstream identity (multi-tenant) — opt-in per-caller Rocket.Chat credentials so actions are attributable.
New consequential decisions are recorded as additional numbered ADRs.
Documentation
- System design — FastMCP adoption design, tool parity, delivery phases.
- Bot identity — message alias vs a dedicated bot account, and how to set one up.
- Cutover runbook — migrating from the Go server and retiring it.
- Architecture Decision Records — see above.
- Security review — Snickers / Snyk agent-security findings and their dispositions.
Provenance
A ground-up FastMCP (Python) rewrite of the Go server rocketchat-mcp-go,
applying lessons from openproject-gt-mcp-server (layered architecture,
observability, human-in-the-loop) and redmine-mcp-server (tag-based tool
visibility, {error, hint, code} envelope, secret scrubbing). Tracked under
OpenProject AI and Automation / EPIC #9810.
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