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
Basic information
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
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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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