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.
@htkuan
基本信息
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
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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。
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.
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.
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.
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`.
Python 3.12 or higher and `uv` (a fast Python package installer/manager).
Yes, a Docker setup is available. Run `make run-docker` to start the service with Docker Compose.
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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