BuildMCPServer

Provides an MCP server that hosts a trained model and enables interactive, Bee Framework-assisted ReAct workflows.

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Language

6 months ago

First Indexed

2 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs

{
  "mcpServers": {
    "nicknochnack-buildmcpserver": {
      "command": "uv",
      "args": [
        "run",
        "mcp",
        "dev",
        "server.py"
      ]
    }
  }
}

You can run an MCP server that hosts a trained model and exposes it to an MCP client for interactive workflows. This guide walks you through starting the server locally and using it with an MCP client to perform model inferences and orchestrated actions within your workflow.

How to use

To use the MCP server, first start the server process to expose the MCP endpoint locally. Then connect your MCP client to initiate requests that trigger model inferences and interactive actions. You can run the server in the background while your client sends tasks, receive responses, and chain actions in your workflow. Make sure your client and server share the same MCP protocol and run on compatible versions.

How to install

Prerequisites you need before starting:

Git must be installed on your machine
Python 3+ and venv support
A compatible MCP runtime such as UVX or a similar CLI tool

Step-by-step commands to set up and run the MCP server locally:

cd BuildMCPServer
uv venv
source .venv/bin/activate
uv add .
uv add ".[dev]"
uv run mcp dev server.py

Notes and setup considerations

The server is started from the project directory and uses a Python virtual environment. Ensure the environment is activated before running MCP commands.
If you need to run the accompanying agent in your workflow, follow the separate steps to activate the virtual environment and start the agent process as needed. This guide focuses on the MCP server startup used by clients.