What are the dependencies required to run it?

The project uses `uv` for package management, Python, and requires installing dependencies from `pyproject.toml` (via `uv add .` and `uv add ".[dev]"`). It also depends on a separately hosted FastAPI ML server.

Do I need to run the FastAPI ML server as well?

Yes, the MCP server relies on a FastAPI-hosted ML server. You must clone its repository, install requirements, and run it with `uvicorn mlapi:app --reload`.

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Build A MCP Server

A complete walkthrough on how to build an MCP server to serve a trained Random Forest model and integrate it with Bee Framework for ReAct

Remote serverstreamable-http

What is the Build A MCP Server?

A complete walkthrough on how to build an MCP server to serve a trained Random Forest model and integrate it with Bee Framework for ReAct interactivity.

What it actually does

📜 License: This project is licensed under the MIT License

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Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

Frequently asked questions

It provides a walkthrough and code to build an MCP server that serves a trained Random Forest model and integrates with Bee Framework for a ReAct interactive agent.

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