nicknochnack_buildmcpserver
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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.
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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 🚀
- Clone this repo
git clone https://github.com/nicknochnack/BuildMCPServer - To run the MCP server
cd BuildMCPServer
uv venv
source .venv/bin/activate
uv add .
uv add ".[dev]"
uv run mcp dev server.py - 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 🔗
======================
Who, When, Why?
👨🏾💻 Author: Nick Renotte
📅 Version: 1.x
📜 License: This project is licensed under the MIT License
About
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.
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