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MCP Composer

@htkuan

基本信息

分类

其他

许可证

MIT

传输方式

stdio

作者

htkuan

关于 MCP Composer

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 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块,请前往代码仓库查看安装说明。

代码仓库

MCP Composer 工具

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当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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.

常见问题

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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