{"repo":"nicknochnack/BuildMCPServer","free":true,"listed":false,"github":"https://github.com/nicknochnack/BuildMCPServer","clone":"git clone https://github.com/nicknochnack/BuildMCPServer.git","description":"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.","language":"Python","stars":58,"topics":[],"license":null,"category":"mcp-servers","readme_excerpt":"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 📺 Startup MCP Server 🚀 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 🔗 - Building MCP Clients (used in singleflow agent) - Original Video where I build the ML server Who, When, Why? 👨🏾‍💻 Author: Nick Renotte 📅 Version: 1.x 📜 License: This project is licensed under the MIT License","default_branch":null,"files":null,"tree":[],"storefront":"/r/nicknochnack","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/nicknochnack/BuildMCPServer/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}