A server that integrates trained Random Forest models with Bee Framework, enabling ReAct interactivity for AI tools and agents.
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.
git clone https://github.com/nicknochnack/BuildMCPServer
cd BuildMCPServer
uv venv
source .venv/bin/activate
uv add .
uv add ".[dev]"
uv run mcp dev server.py
source .venv/bin/activate
uv run singleflowagent.py
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
šØš¾āš» Author: Nick Renotte š Version: 1.x š License: This project is licensed under the MIT License
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