Skip to main content

Unify multiple MCP servers behind a single endpoint with lazy loading, plugins, and role filtering.

Project description

mcp-gateway

PyPI License Python

Unify multiple MCP servers behind a single endpoint. Lazy loading, auto-cleanup, Python plugins, role-based filtering.

The Problem

If you use Claude Code or any MCP client with 3+ servers, you get:

  • Multiple subprocesses (~50MB each)
  • Duplicated config
  • No centralized control
  • No way to add custom Python tools without a full MCP server

The Solution

mcp-gateway runs one process that proxies N MCP servers on-demand:

Claude Code / MCP Client
  │
  ▼
mcp-gateway (1 process)
  ├─ [plugin] Python @tool functions     ← in-process, 0 overhead
  ├─ [lazy]   filesystem-server          ← subprocess spawned on first call
  ├─ [lazy]   github-server              ← subprocess spawned on first call
  └─ [lazy]   playwright                 ← subprocess spawned on first call
      ↑
      5 min idle → auto-kill

Install

pip install mcp-gateway

Quick Start

1. Create gateway.yaml

servers:
  filesystem:
    command: npx
    args: ["-y", "@modelcontextprotocol/server-filesystem", "/tmp"]

  github:
    command: npx
    args: ["-y", "@modelcontextprotocol/server-github"]
    env:
      GITHUB_TOKEN: "${GITHUB_TOKEN}"
    enabled: false

idle_timeout: 300

2. Run

stdio (for Claude Code):

mcp-gateway stdio --config gateway.yaml

SSE (for remote clients):

mcp-gateway serve --config gateway.yaml --port 8765

3. Add to Claude Code

{
  "mcpServers": {
    "gateway": {
      "command": "mcp-gateway",
      "args": ["stdio", "--config", "/path/to/gateway.yaml"]
    }
  }
}

Python Plugins

Add custom tools with zero boilerplate:

from mcp_gateway import tool

@tool(description="Add two numbers")
def add(a: float, b: float) -> float:
    return a + b

Reference in your config:

plugins:
  - module: my_tools.calculator

Or register programmatically:

from mcp_gateway import MCPGateway

gw = MCPGateway()
gw.register_tool(add)
await gw.serve_stdio()

Sync functions run via asyncio.to_thread(). Async functions run natively. Schemas are auto-generated from type hints.

Role-Based Filtering

Control which tools each client sees:

roles:
  admin: null        # all tools
  readonly: ["filesystem_*", "gateway_status"]
  developer: ["github_*", "filesystem_*", "gateway_*"]

Set the role via environment variable:

MCP_GATEWAY_ROLE=readonly mcp-gateway stdio

Uses glob patterns — filesystem_* matches all tools from the filesystem server.

How It Works

  1. Lazy Loading: Servers aren't started until a tool is called. Each server gets a _<name>_connect placeholder tool. Calling it spawns the subprocess and discovers real tool schemas via session.list_tools().

  2. Auto-Cleanup: A background task checks every 60s and kills server subprocesses idle for longer than idle_timeout (default: 5 min).

  3. Real Schemas: Tool schemas are discovered from the actual server via the MCP SDK, not hardcoded. You always get accurate inputSchema.

  4. Plugin Tools: Python functions decorated with @tool run in the gateway process. Type hints are introspected to generate JSON Schema automatically.

API

from mcp_gateway import MCPGateway, tool

# From YAML
gw = MCPGateway.from_config("gateway.yaml")

# Programmatic
gw = MCPGateway()
gw.register_tool(my_function, name="my_tool", description="...")

# Serve
await gw.serve_stdio()    # stdio mode
await gw.serve_sse()      # SSE mode on :8765

# Context manager
async with MCPGateway() as gw:
    await gw.serve_stdio()

CLI

mcp-gateway serve [--config FILE] [--host HOST] [--port PORT]
mcp-gateway stdio [--config FILE]
mcp-gateway list  [--config FILE]

Config discovery: --config > ./gateway.yaml > ./mcp-gateway.yaml

Requirements

  • Python >= 3.10
  • mcp >= 1.0.0
  • starlette >= 0.27.0
  • uvicorn >= 0.23.0
  • pyyaml >= 6.0

License

MIT

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mcp_unify-0.1.1.tar.gz (14.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mcp_unify-0.1.1-py3-none-any.whl (14.4 kB view details)

Uploaded Python 3

File details

Details for the file mcp_unify-0.1.1.tar.gz.

File metadata

  • Download URL: mcp_unify-0.1.1.tar.gz
  • Upload date:
  • Size: 14.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.9

File hashes

Hashes for mcp_unify-0.1.1.tar.gz
Algorithm Hash digest
SHA256 15a596fb262e6f0b1155a790938c62b13b1105b4321d66ce4c993fec94176c19
MD5 89f72b3b968910cda677e44ce94dc0d4
BLAKE2b-256 fa5ebe2552990b93e7b1f5841b4f635f7b7bae77d27ab3ac0459ae2bfa103f0f

See more details on using hashes here.

File details

Details for the file mcp_unify-0.1.1-py3-none-any.whl.

File metadata

  • Download URL: mcp_unify-0.1.1-py3-none-any.whl
  • Upload date:
  • Size: 14.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.9

File hashes

Hashes for mcp_unify-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 cf0ecc6321768bcee0e3b6c5020b44ebdcd781c265e614094f7bf4cabda68893
MD5 ce8f572eab7d1b88f9c8a0dfb502f2f9
BLAKE2b-256 994de69a658c9c681fc922b666dda5f5ac657ce7fc703fc42bf2ef067ed6a4b4

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page