BuildMCPServer

BuildMCPServer

3.5

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A comprehensive guide to building a Model Context Protocol (MCP) server for serving a trained Random Forest model and integrating it with the Bee Framework for interactive applications.

Build a MCP Server

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

See it live and in action šŸ“ŗ

Startup MCP Server šŸš€

  1. Clone this repo git clone https://github.com/nicknochnack/BuildMCPServer
  2. To run the MCP server
    cd BuildMCPServer
    uv venv
    source .venv/bin/activate
    uv add .
    uv add ".[dev]"
    uv run mcp dev server.py
  3. To run the agent, in a separate terminal, run:
    source .venv/bin/activate
    uv run singleflowagent.py

Startup FastAPI Hosted ML Server

git clone https://github.com/nicknochnack/CodeThat-FastML
cd CodeThat-FastML
pip install -r requirements.txt
uvicorn mlapi:app --reload
Detailed instructions on how to build it can also be found here

Other References šŸ”—

Who, When, Why?

šŸ‘ØšŸ¾ā€šŸ’» Author: Nick Renotte
šŸ“… Version: 1.x
šŸ“œ License: This project is licensed under the MIT License