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MCP.so
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MCP Gateway

@IBM

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基本情報

カテゴリ

その他

ライセンス

Apache-2.0

トランスポート

stdio

作者

IBM

MCP Gateway について

An AI Gateway, registry, and proxy that sits in front of any MCP, A2A, or REST/gRPC APIs, exposing a unified endpoint with centralized discovery, guardrails and management. Optimizes Agent & Tool calling, and supports plugins.

#python#docker#kubernetes#devops#jwt#tools#ai#api-gateway#mcp#gateway#asyncio#federation#agents#observability#authentication-middleware#fastapi#prompt-engineering#generative-ai#llm-agents#model-context-protocol

MCP Gateway の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "mcp-context-forge": {
      "command": "uvx",
      "args": [
        "--from",
        "mcp-contextforge-gateway",
        "mcpgateway",
        "--host",
        "0.0.0.0",
        "--port",
        "4444"
      ]
    }
  }
}

MCP Gateway のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。

概要

What is MCP Gateway?

MCP Gateway is an open source registry and proxy that federates Model Context Protocol (MCP) servers, A2A agents, and REST/gRPC APIs into a single unified endpoint. It provides centralized governance, discovery, observability, and protocol translation for AI clients.

How to use MCP Gateway?

Install the mcp-contextforge-gateway package via PyPI or use the Docker image. Configure settings through a .env file or environment variables, then launch the server with the mcpgateway command. A quick start using uvx is also supported.

Key features of MCP Gateway

  • Federation across MCP, A2A, REST, and gRPC services
  • REST-to-MCP and gRPC-to-MCP automatic tool translation
  • Built-in auth, rate-limiting, retries, and OAuth token support
  • Admin UI for real-time configuration and log monitoring
  • OpenTelemetry observability with Phoenix, Jaeger, Zipkin, and other backends
  • Redis-backed caching and multi-cluster federation for scalability

Use cases of MCP Gateway

  • Federating multiple MCP servers under a single gateway for AI agents
  • Exposing legacy REST or gRPC APIs as MCP-compliant tools without code changes
  • Routing agent-to-agent (A2A) requests across OpenAI, Anthropic, or custom agents
  • Centralizing governance, auth, and observability for enterprise AI infrastructure
  • Airgapped deployments with a bundled Admin UI and offline capability

よくある質問

1

What are the prerequisites to run MCP Gateway?

Python ≥ 3.11 is required. For quick-start smoke tests, `curl` and `jq` are recommended.

2

How do I authenticate with the gateway?

MCP Gateway supports Basic auth, JWT tokens, and OAuth tokens scoped per user. An X-Upstream-Authorization header can be set unconditionally for backend services.

3

What transports does MCP Gateway support?

It supports HTTP, JSON-RPC, WebSocket, SSE (with configurable keepalive), stdio, and streamable-HTTP.

4

Does MCP Gateway support OpenTelemetry?

Yes. It provides vendor-agnostic tracing via OTLP protocol and works with Phoenix, Jaeger, Zipkin, Tempo, DataDog, and New Relic backends.

5

Where is data stored?

MCP Gateway uses Redis for caching and federation. There is no embedded database; configuration and state are managed via files, environment variables, and Redis.

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