Hub MCP Server

mcp-hub

A Model Context Protocol (MCP) gateway: it serves many stdio MCP servers from one container, published over HTTPS.

Lets MCP clients that cannot spawn a local process — ChatGPT connectors, Claude on the Web and in Code, Mistral Le Chat, Cursor, LibreChat and any other Streamable-HTTP client — reach every server behind it, with a built-in OAuth 2.1 login protected by a single password, plus long-lived API tokens for clients that cannot do OAuth (OpenAI Responses API, xAI API, Gemini API). Per-client recipes: client compatibility.

Want to poke at it first? demo/ is a throwaway hub with three fake servers — docker compose up -d, then point the MCP Inspector or MCPJam at it. Nothing to configure, nothing to clean up but a volume.

Why

Wrapping each stdio MCP server in its own auth-proxy container costs a full image, an OAuth stack, a hostname and a compose stack per server. mcp-hub replaces N containers with one process:

• Config is exactly Claude Code's mcpServers format — copy entries 1:1.
• Path-based routing: https://host/paperless, https://host/homeassistant, …
• /hub aggregate: register a single connector and reach every server through 6 meta-tools (list_servers, list_tools, get_tool_schema, call_tool, wake_server, sleep_server) without flooding the model context with N×tools schemas.
• Per-server tool filtering: allowTools / denyTools on any server decide which of its tools the hub exposes — exact names or list_* prefixes. A filtered tool is hidden from tools/list and refused if a client calls it anyway, before the server is even woken, so a client holding a stale schema cannot reach it.
• Also without HTTP: mcp-hub --stdio serves that same aggregate on stdin/stdout for clients that can only spawn a local process (Claude Desktop, Codex, …) — same mcp.json, no TLS, no reverse proxy, no login. Auth exists for the network endpoints; over stdio the trust boundary is the local user.
• On-demand lifecycle: stdio and docker servers start when used and sleep after 60 idle minutes, answering initialize/tools/list from a persistent snapshot meanwhile — a dozen servers cost only the memory of the ones in use. keepAlive: true exempts a server, IDLE_TIMEOUT_MINUTES=0 the hub.
• CIMD-first OAuth 2.1: clients identify themselves with a Client ID Metadata Document — the registration-free path the MCP spec now prefers — including private_key_jwt against the keys in their own document (metadata-document clients only). RFC 7591 dynamic registration stays advertised beside it for older clients, mcp-hub-admin clients add issues credentials by hand for anything that can do neither, and CLIENT_REGISTRATION turns either mechanism off.
• OAuth outwards, too: a remote server that speaks OAuth gets an oauth block instead of a static header. The hub registers itself — with credentials the upstream issued, via RFC 7591, or with its own client metadata document — then obtains and refreshes the token. client_credentials upstreams need no attention at all; where a person must sign in, mcp-hub-admin upstream login prints one URL. An upstream that needs re-authorizing shows up as one server unauthorized, not as a confusing 401 in your client.
• Supervision: children are pinged and restarted with exponential backoff when they die. A down server answers 503, not silence; a crash-looping server nobody uses is parked instead of restarted forever.
• Hot reload: edits to mcp.json start/stop/restart only the affected servers.
• Stateless Streamable HTTP: no session state, so claude.ai's reconnect-without-DELETE behaviour cannot leak processes or memory.
• Lightweight by design: one Node process, no database (state is one JSON file plus a JWT key under /data), a handful of runtime dependencies, and multi-arch images — a stated project goal is to run comfortably on a single-board computer like a Raspberry Pi.

Configuration

/config/mcp.json — identical to Claude Code (${VAR} expands from the container environment; unknown fields are ignored by Claude Code, so the file stays interchangeable). Install stdio server binaries at a reviewed, exact version in your image; do not download mutable packages at runtime:

{
  "mcpServers": {
    "paperless": {
      "command": "paperless-mcp",
      "args": [],
      "env": { "PAPERLESS_API_TOKEN": "${PAPERLESS_API_TOKEN}" }
    },
    "homeassistant": {
      "type": "http",
      "url": "http://homeassistant:8123/api/mcp",
      "headers": { "Authorization": "Bearer ${HA_TOKEN}" }
    },
    "private-thing": { "command": "some-mcp", "args": [], "hub": false },
    "paperless-readonly": {
      "command": "paperless-mcp",
      "allowTools": ["search_*", "get_document"],
      "denyTools": ["delete_document"]
    },
    "untrusted": {
      "type": "docker",
      "image": "ghcr.io/example/untrusted-mcp@sha256:0123456789abcdef0123456789abcdef0123456789abcdef0123456789abcdef",
      "network": "none",
      "memory": "256m"
    }
  }
}

Stdio servers (command/args/env) are spawned as supervised child processes. Remote servers (type: "http" or "sse" with url and optional headers) are connected as MCP clients with the configured headers injected on every request — the same supervision (ping, backoff reconnect, hot reload) applies. An upstream that speaks OAuth gets an oauth block instead of a header: the hub registers itself (statically, via RFC 7591 or via a client metadata document), obtains the token and refreshes it, with one browser visit started from the admin CLI where the grant needs a person. "hub": false hides a server from the /hub aggregate; its own path keeps working. allowTools / denyTools cut finer and apply to every kind of server: a filtered tool is absent from both tools/list and /hub, and is refused if called anyway — before the server is woken. Reserved names: mcp, hub, authorize, token, register, login, consent, health, livez, revoke, upstream, .well-known.

All stdio children share the hub's Unix user and can read its mounted files. Only install fully trusted stdio servers. A server with a different trust level belongs in its own container — and it does not have to speak HTTP to get there:

• type: "docker" — the hub creates the container and talks stdio across the container boundary over the Docker API. No HTTP listener, no bearer token, no bridge process in the image. The hub itself never gets the Docker socket: a separate mcp-hub-docker-proxy container holds it and allows only the container operations mcp.json describes — nothing privileged, no host mounts, no other images. Credentials can live with the proxy (secretsFrom) so the hub process never holds them — and rotating one is just an edit: the proxy watches the file and recreates the sandbox with the new values.
• type: "unix" / "tcp" — you start the container, the hub connects to a socket. Costs the hub no privileges at all, and a Unix socket reaches a sandbox running with network_mode: none.

Both carry the newline-delimited JSON-RPC the specification asks custom transports to reuse. See sandboxing and SECURITY.md.

For a custom image, pin every package to an exact version:

FROM ghcr.io/ni-c/mcp-hub:0.10.0   # pin @sha256:<digest> in production
USER root
RUN npm install -g your-mcp-package@1.2.3
USER node

Environment

The full table, including what applies in stdio mode, is in the environment reference.

/data holds the Ed25519 JWT key, registered OAuth clients, approvals and refresh tokens. Mount it as a volume — recreating it invalidates every connector authorization.

Every access token is bound to one resource. The OAuth client includes the resource advertised by the endpoint's RFC 9728 document — no client-side configuration needed — and the resulting token is valid only there: a token for /paperless/mcp cannot call /hub, /health or another server. The shorter /<name> route is canonicalized to /<name>/mcp.

RESOURCE_BOUND_TOKENS=false turns this off and is a migration mode for deployments from 0.4 and earlier, where tokens were issued without a resource and reach every path. The hub logs a warning while it is set. Removing it invalidates those unbound tokens, so every connector authorizes once more.

TRUSTED_PROXIES decides what req.ip is, and therefore what the login rate limiter counts. List only your own reverse proxy, and make sure it overwrites X-Forwarded-For rather than appending to it — otherwise a client can supply its own address and rotate it to sidestep the per-IP limit. If the variable is unset, every request appears to come from the proxy and per-IP limiting degrades to a single global counter (the hub logs a warning at startup). A global cap of 100 failures per 15 minutes applies either way.

Running

Option A — prebuilt image from GHCR (recommended)

Published on every push to main and every vX.Y.Z release tag, for linux/amd64 and linux/arm64. Browse the versions on the package page.

docker pull ghcr.io/ni-c/mcp-hub:0.10.0

Tags: latest (tip of main), X.Y.Z and X.Y (releases), and sha-<commit> for a specific build.

Use a version tag instead of latest for controlled updates. For an immutable deployment, record the resolved digest from docker image inspect and use ghcr.io/ni-c/mcp-hub:<version>@sha256:<digest> in Compose.

With compose, copy the example and point it at the image instead of building:

services:
  mcp-hub:
    image: ghcr.io/ni-c/mcp-hub:0.10.0 # replaces `build: .`; pin a digest in production
    # ...rest of docker-compose.example.yml unchanged

cp docker-compose.example.yml docker-compose.yml   # adjust, swap build → image
mkdir -p config && cp mcp.json.example config/mcp.json  # adjust
mkdir -p data && sudo chown -R 1000:1000 data       # container runs as uid 1000
docker compose up -d

Or without compose:

mkdir -p data && sudo chown -R 1000:1000 data       # container runs as uid 1000
docker run -d --name mcp-hub \
  -p 127.0.0.1:7690:80 \
  -e EXTERNAL_URL="https://mcp.example.net" \
  -e PASSWORD_HASH="$(htpasswd -bnBC 10 '' 'yourpassword' | tr -d ':\n')" \
  -e TRUSTED_PROXIES="192.168.1.0/24" \
  -v "$PWD/config:/config:ro" \
  -v "$PWD/data:/data" \
  ghcr.io/ni-c/mcp-hub:0.10.0

Update to a newer image with docker compose pull && docker compose up -d (or docker pull …, then recreate the container).

Option B — build from source

cp docker-compose.example.yml docker-compose.yml   # adjust
mkdir -p config && cp mcp.json.example config/mcp.json  # adjust
docker compose up -d --build

Option C — npm (without a container)

CONFIG_PATH=./mcp.json DATA_PATH=./data PASSWORD_HASH='...' \
  npx @ni-c/mcp-hub

Installs as @ni-c/mcp-hub (the unscoped npm name belongs to an unrelated project) and provides the mcp-hub and mcp-hub-admin binaries. The container remains the recommended deployment — it provides the isolation, read-only root filesystem and resource limits that SECURITY.md assumes.

Reverse-proxy requirements: TLS termination, WebSockets/SSE allowed (proxy buffering off, a request timeout above 310 seconds, a request-body limit at or below MCP_BODY_LIMIT, and pass X-Forwarded-Proto/Host.

Connect a client: add https://<host>/hub (or https://<host>/<name>/mcp for one server) as a custom connector — in ChatGPT (developer mode), Claude Web, Mistral Le Chat, Cursor, LibreChat or any other OAuth-capable MCP client — and log in once with the password. Claude Code: claude mcp add -t http name https://<host>/<name>/mcp. API-only clients (OpenAI Responses API, xAI, Gemini API) use an admin-minted token instead — see client compatibility.

Each client is confirmed once. Entering the password approves the client that asked; while a login session is still valid, a client you have not seen before gets an explicit Approve / Deny page instead of a code. Approved clients reconnect silently from then on.

List clients or revoke one. The CLI shares /data with the running hub and both sides re-read the state file before they touch it, so this works against a live container — a revocation takes effect on the next request:

docker exec mcp-hub node /app/dist/admin.js clients list
docker exec mcp-hub node /app/dist/admin.js clients revoke CLIENT_ID
docker exec mcp-hub node /app/dist/admin.js clients delete CLIENT_ID
docker exec mcp-hub node /app/dist/admin.js clients prune --dry-run

Revocation removes the approval and all refresh tokens and immediately rejects already-issued access tokens. The next connection needs explicit approval. delete goes further and removes the registration itself, and prune applies the registration lifecycle rules on demand — registrations that were never approved expire after a day, unused ones after 90 days, and a dynamically registered client can also remove its own registration through RFC 7592.

For clients that cannot do OAuth at all — the OpenAI Responses API, the xAI API, Gemini's mcp_server tool, plain-header clients — the same CLI mints long-lived, resource-bound API tokens:

docker exec mcp-hub node /app/dist/admin.js tokens create --resource hub --days 90 --label "openai"
docker exec mcp-hub node /app/dist/admin.js tokens list
docker exec mcp-hub node /app/dist/admin.js tokens revoke TOKEN_ID

The token is printed once and never stored; tokens revoke takes effect immediately. Per-client recipes: client compatibility.

Endpoints

Notes & limitations

• Stateless transport: server-initiated notifications (listChanged, subscriptions, sampling) are not delivered to clients. Tool/resource/prompt request-response works fully; the hub's tool cache does follow tools/list_changed internally.
• Access tokens are self-contained 15-minute JWTs. Revoking a client rejects its existing JWTs and removes all of its refresh tokens. Refresh tokens rotate; replaying a token that was already rotated away revokes its whole chain, and a refresh cannot ask for more scope than the original grant.
• Upstream auth is fully decoupled from the hub's own OAuth: an expired upstream token just marks that one server down (503 on its path, visible in /health) — clients never see the upstream's 401.
• One login can approve multiple connectors, but each token is valid only for its requested server or /hub. Registration remains open as the MCP specification intends; a client only receives codes after confirmation and only at the confirmed redirect target.
• Failed logins are rate-limited (10/15 min per IP) and logged as mcp-hub: authentication failure from <ip> for fail2ban.
• Auth pages deny framing and carry a restrictive CSP. MCP bodies are parsed only after bearer verification and are bounded by size, per-client request rate and per-client concurrency.

Logging to a file for fail2ban

LOG_FILE=/data/mcp-hub.log mirrors every log line into that file, one line per entry with an ISO-8601 UTC prefix, while leaving the console output alone — so docker logs keeps working. A jail then reads the file directly:

# /etc/fail2ban/filter.d/mcp-hub-auth.conf
[Definition]
failregex = mcp-hub: authentication failure from <HOST>\s*$
            mcp-hub: login rate limit exceeded from <HOST>\s*$
            mcp-hub: consent with an invalid CSRF token from <HOST>\s*$
ignoreregex =

Only the hub's own lines are mirrored — the stdio children inherit stderr directly, so their output stays in the container log and the file stays small. Rotate it with logrotate (copytruncate, since the hub holds the file open).

Why not read the container's own logs instead: the Docker json-file path contains the container ID and changes on every recreate, and the journald driver maps all stderr to priority err — since an MCP server must keep stdout free for the protocol and therefore logs to stderr, every ordinary line would show up as a system error and drown out host monitoring.

Bans belong in the DOCKER-USER chain (banaction = iptables-allports) when the hub is published through a container-based reverse proxy: that traffic arrives via DNAT and FORWARD, and never passes INPUT.

Development

npm install
npm test           # vitest: config, OAuth flow, proxy E2E, hub, hot reload
npm run dev        # tsx, needs EXTERNAL_URL/PASSWORD/CONFIG_PATH/DATA_PATH