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Hangar MCP Server

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Policy enforcement plane for MCP: every tool call ends in a verdict. Self-hosted, MIT.

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Policy enforcement plane for MCP: every tool call ends in a verdict. Self-hosted, MIT.

Security Report

1.5
Use Caution1.5Critical Risk

Valid MCP server (2 strong, 1 medium validity signals). 14 known CVEs in dependencies (0 critical, 6 high severity) Package registry verified. Imported from the Official MCP Registry.

6 files analyzed · 15 issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

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What You'll Need

Set these up before or after installing:

Path to config.yaml declaring the upstream MCP servers and policy. Without it Hangar starts on a demo config that serves no real upstream.Optional

Environment variable: MCP_CONFIG

How to Install

Add this to your MCP configuration file:

{
  "mcpServers": {
    "io-mcp-hangar-hangar": {
      "env": {
        "MCP_CONFIG": "your-mcp-config-here"
      },
      "args": [
        "mcp-hangar"
      ],
      "command": "uvx"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

MCP Hangar

The policy enforcement plane for MCP -- deterministic admission and egress policy, attributable audit, and SIEM export for your MCP server fleet. MIT, self-hosted, no SaaS.

PyPI CI License: MIT OpenSSF Best Practices

Why

In MCP, the tool list is a hint the client caches; the call path is the only surface a provider mediates in real time. Every governance primitive worth having -- revocation, per-tenant scoping, audit -- attaches there, or attaches to nothing. Hangar puts a policy enforcement plane on that seam: one mediated path for lifecycle, policy, and telemetry across your whole MCP server fleet.

Background: The Advisory List -- Why MCP Governance Lives at the Call Path

Install

pip install mcp-hangar
# or: uv pip install mcp-hangar

Upgrading rather than installing fresh? The migration steps live in the upgrade guide.

Quickstart

Point Hangar at an MCP server in config.yaml:

mcp_servers:
  github:
    mode: subprocess
    command: [uvx, mcp-server-github]
    env:
      GITHUB_TOKEN: ${GITHUB_TOKEN}

Then serve it:

mcp-hangar serve --config config.yaml                     # stdio (Claude Desktop)
mcp-hangar serve --config config.yaml --http --port 8000  # HTTP + REST API at /api/

Hangar refuses to bind a non-loopback interface without auth. For a quick/insecure demo, pass --unsafe-no-auth; for anything real, configure the auth block.

Or skip the config entirely -- get filesystem, fetch, and memory servers wired into Claude Desktop in one line:

curl -sSL https://mcp-hangar.io/install.sh | bash && mcp-hangar init -y && mcp-hangar serve

What you get

The enforcement plane — what the call path actually decides:

  • L7 egress policy -- allow/deny in MCP semantics: which upstream, which tool, which arguments. Deterministic, with no anomaly scores and no learned baselines, so every verdict is reproducible from the policy that produced it.
  • Tool-schema digest pinning -- an upstream that changes a pinned tool's schema fails closed instead of quietly serving a different tool. Pin for every caller with tool_projection.pins, or per tenant, which needs authentication so a caller arrives carrying one.
  • Auth & RBAC -- API-key and OIDC/JWT identity with role-based access and RFC 8707 audience binding; bootstrap the first administrator with mcp-hangar auth bootstrap-admin, and every call carries a verified principal into the audit trail.
  • Per-tenant tool projection -- front-door mode presents a different executable surface per caller, fail-closed on unknown identity.
  • Human-in-the-loop approvals -- gate a call on an explicit decision, authorized and attributed to a real principal. Delivery channels are pluggable; core ships no vendor integration.
  • Governed task relay -- Hangar interposes on the SEP-2663 task lifecycle and never becomes an executor: no scheduler, no job runner, no result store.
  • Attributable audit -- an identity-attributed audit record exported to SIEM as CEF, LEEF 2.0, RFC 5424 syslog or JSON-lines, and to OTLP.

Everything else it takes to run a fleet:

  • Parallel tool calls -- one hangar_call fans out to many MCP servers concurrently; all results returned together.
  • Lifecycle management -- lazy start, health checks, single-flight cold starts, idle shutdown, and per-server circuit breaking.
  • Hot config reload -- add or withdraw servers and tools via file watch, no restart.
  • OAuth ingress -- advertise as an RFC 9728 protected resource and challenge external agents for verified tokens.
  • Observability built in -- OpenTelemetry traces, Prometheus metrics, and structured logs.

One config gotcha: tools: is overloaded

The per-server tools: key accepts two forms that look similar and mean opposite things:

tools:                        # LIST -- pre-start visibility projection
  - name: add
    inputSchema: { type: object, properties: { a: { type: number } } }

tools:                        # DICT -- access policy
  allow: [create_issue, list_issues]
  deny: [delete_repository]

The list form only lets a tool be listed before its provider has started. It is not an access policy, and it does not survive startup: the provider's dynamic tools/list is authoritative and replaces it entirely, so a statically-listed tool the provider does not return becomes uncallable and fails with Tool not found: <name> at invocation.

The dict form is the access policy — glob patterns, three-level merge. Reach for it when you mean to restrict something. Full semantics in the configuration reference.

Documentation

MCP Registry

Published in the Official MCP Registry as io.mcp-hangar/hangar. Clients that consume the registry can install it from there; the entry describes the PyPI package started over stdio, not a hosted instance — Hangar is self-hosted only.

License

MIT

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