Skip to main content
Glama
Sign In
enesjakozh

MCP Server for ML Model Integration

by nicknochnack
GitHub
Python
13
OverviewInspectNewSchemaRelated ServersReviewsScore
Need Help?View Source CodeReport Issue

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 🚀

  1. Clone this repo git clone https://github.com/nicknochnack/BuildMCPServer
  2. To run the MCP server
    cd BuildMCPServer
    uv venv
    source .venv/bin/activate
    uv add .
    uv add ".[dev]"
    uv run mcp dev server.py
  3. 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

This server cannot be installed

-
security - not tested
F
license - not found
-
quality - not tested

A server that integrates trained Random Forest models with Bee Framework, enabling ReAct interactivity for AI tools and agents.

  1. See it live and in action 📺
    1. Startup MCP Server 🚀
      1. Startup FastAPI Hosted ML Server
        1. Other References 🔗
          1. Who, When, Why?

            Related Resources

            Related MCP Servers

            • Model Context Protocol (MCP) Server

              hideya
              -
              security
              A
              license
              -
              quality
              This server facilitates the invocation of AI models from providers like Anthropic, OpenAI, and Groq, enabling users to manage and configure large language model interactions seamlessly.
              Last updated -
              9
              Python
              MIT License

            • DeepClaude MCP Server

              Way-To-AGI
              -
              security
              F
              license
              -
              quality
              This server integrates DeepSeek and Claude AI models to provide enhanced AI responses, featuring a RESTful API, configurable parameters, and robust error handling.
              Last updated -
              13
              TypeScript

            • MCP Beeminder Server

              strickvl
              -
              security
              A
              license
              -
              quality
              An MCP server that provides AI assistants access to the Beeminder API, allowing them to help users track goals, manage datapoints, and interact with Beeminder's self-commitment tools through natural language.
              Last updated -
              2
              Python
              MIT License
              • Apple

            • OmniMCP

              OpenAdaptAI
              -
              security
              F
              license
              -
              quality
              A server that provides rich UI context and interaction capabilities to AI models, enabling deep understanding of user interfaces through visual analysis and precise interaction via Model Context Protocol.
              Last updated -
              24
              Python
              • Linux
              • Apple

            View all related MCP servers

            New MCP Servers

            MCP directory API

            We provide all the information about MCP servers via our MCP API.

            curl -X GET 'https://glama.ai/api/mcp/v1/servers/nicknochnack/BuildMCPServer'

            If you have feedback or need assistance with the MCP directory API, please join our Discord server