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
What is BuildMCPServer?
This project demonstrates how to build an MCP (Model-as-Compute-Primitive) server. It serves a trained Random Forest model and integrates with the Bee Framework to enable ReAct (Reasoning and Acting) capabilities, allowing for interactive applications.
How to use BuildMCPServer?
To use this server, clone the repository, navigate to the directory, create and activate a virtual environment using uv, install the dependencies, and then run the MCP server using uv run mcp dev server.py. A separate FastAPI-hosted ML server is also included, with instructions to clone its repository, install its requirements, and run it using uvicorn mlapi:app --reload. An agent can be run in a separate terminal using uv run singleflowagent.py.
Key features of BuildMCPServer
Serving a trained Random Forest model
Integration with Bee Framework for ReAct interactivity
Includes a FastAPI hosted ML server
Provides instructions for building MCP clients
Uses
uvfor dependency management
Use cases of BuildMCPServer
Building interactive applications with machine learning models
Serving machine learning models in a compute-primitive manner
Integrating machine learning models with the Bee Framework
Creating ReAct agents
Demonstrating the use of MCP servers
FAQ from BuildMCPServer
What is an MCP server?
What is an MCP server?
MCP stands for Model-as-Compute-Primitive. It's a way to serve machine learning models as a reusable component.
What is the Bee Framework?
What is the Bee Framework?
The Bee Framework is used for creating ReAct agents, enabling reasoning and acting capabilities.
What is ReAct?
What is ReAct?
ReAct stands for Reasoning and Acting. It's a framework for building agents that can reason about their environment and take actions accordingly.
What is FastAPI used for?
What is FastAPI used for?
FastAPI is used to host the ML model as an API endpoint, allowing other applications to interact with it.
What is uv used for?
What is uv used for?
uv is a fast, modern Python package installer and resolver, used here for managing dependencies and running the server and agent.