
Buildserver
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.
GitHub Stats
Stars
39
Forks
15
Release Date
4/9/2025
about 2 months ago
Detailed Description
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 🔗
- 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
Star History
Star History
About the Project
This app has not been claimed by its owner yet.
Claim OwnershipReceive Updates
Security Updates
Get notified about trust rating changes
to receive email notifications.