BuildMCPServer
by nicknochnack
This repository provides a complete walkthrough on how to build an MCP server to serve a trained Random Forest model. It also integrates with Bee Framework for ReAct interactivity.
Last updated: N/A
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 šŗ
<a href="https://www.linkedin.com/posts/nicholasrenotte_mcp-servers-make-tools-a-bunch-easier-for-activity-7305748751162163200-dIEn?utm_source=share&utm_medium=member_desktop&rcm=ACoAABbxZgUBrud9C531KZPQHCs2riXCiv9Av2A"><img src="https://i.imgur.com/Y2LN9dd.png"/></a>
Startup MCP Server š
- 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 <a href="https://youtu.be/C82lT9cWQiA?si=dIsL6eM1lUMAVcf0">here</a></br>
Other References š </br>
- <a href="https://github.com/RGGH/mcp-client-x/blob/main/src/client/mcp_client.py">Building MCP Clients (used in singleflow agent)</a></br>
- <a href="https://www.youtube.com/watch?v=C82lT9cWQiA&t=1003s ">Original Video where I build the ML server</a>
Who, When, Why?
šØš¾āš» Author: Nick Renotte <br /> š Version: 1.x<br /> š License: This project is licensed under the MIT License </br>