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MCP Composer

@htkuan

リポジトリ

基本情報

カテゴリ

その他

ライセンス

MIT

トランスポート

stdio

作者

htkuan

MCP Composer について

Connect and dynamically manage multiple MCP servers/tools through a single SSE interface, allowing your AI agent or AI APP to control MCP servers more flexibly

#mcp-composer#server-management#ai-integration

MCP Composer の設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

リポジトリ

MCP Composer 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。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is MCP Composer?

MCP Composer is a gateway service that centrally manages all your MCP servers. It consolidates multiple MCP servers and opens independent ports with different combinations of servers and tools for each service (such as AI agents or tools) that requires access to MCP servers.

How to use MCP Composer?

After cloning the repository, install dependencies with make install or uv sync. Configure your MCP servers by editing mcp_servers.json and setting environment variables in .env. Run the application with make run or uv run src/main.py. Alternatively, use make run-docker for a Docker deployment.

Key features of MCP Composer

  • Dynamic MCP Server Management with on‑the‑fly activation/deactivation.
  • Unified Server-Sent Events (SSE) interface for all managed capabilities.
  • Multiple dynamic SSE endpoints for different AI agents or tools.
  • Independent interface configuration per SSE endpoint.

Use cases of MCP Composer

  • Consolidate multiple MCP servers into a single manageable gateway.
  • Provide customized tool/ server combinations to different AI agents.
  • Dynamically add or remove MCP servers without restarting the gateway.
  • Expose MCP capabilities via a unified SSE interface for workflow tools like n8n.

よくある質問

1

What is MCP Composer?

MCP Composer is a gateway service that centrally manages all your MCP servers, allowing you to consolidate them and expose independent endpoints with different server/tool combinations for each AI agent or tool.

2

How do I install and run MCP Composer?

Clone the repository, install dependencies using `make install` (or `uv sync`), configure `mcp_servers.json` and `.env`, then start with `make run` or `uv run src/main.py`. For Docker, run `make run-docker`.

3

What are the system requirements?

Python 3.12 or higher and `uv` (a fast Python package installer/manager).

4

Can I use Docker to deploy MCP Composer?

Yes, a Docker setup is available. Run `make run-docker` to start the service with Docker Compose.

5

How do I configure the MCP servers to manage?

Copy `mcp_servers.example.json` to `mcp_servers.json` and edit it to define the MCP servers you want to connect to. Environment variables in `.env` control host, port, proxy URL, and config path.

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