TransformerBee.mcp

TransformerBee.mcp

1

TransformerBee.MCP is a proof-of-concept MCP server for the transformer.bee project, offering deployment options via Python package or Docker image. It serves as a tool to facilitate Model Context Protocol integrations using supporting libraries.

TransformerBee.MCP

This is a simple PoC of a Model Context Protocol (MCP) server for transformer.bee, written in Python. Under the hood it uses python-mdc and transformerbeeclient.py.

Installation

You can install the MCP server as Python package or pull the Docker image.

Install as Python Package

uv install transformerbeemcp

or if you are using pip:

pip install transformerbeemcp

Install as Docker Image

docker pull ghcr.io/hochfrequenz/transformerbee.mcp:latest

Start the Server via CLI

Python

_The package ships a simple CLI argument to start the server. In a terminal inside the virtual environment in which you installed the package (here myvenv), call:

(myvenv) run-transformerbee-mcp-server

Docker

docker run --network host -i --rm -e TRANSFORMERBEE_HOST=http://localhost:5021 ghcr.io/hochfrequenz/transformerbee.mcp:latest

(For the environment variables -e ..., see below or the transformerbeeclient.py docs.)

Register MCP Server in Claude Desktop

If you checked out this repository

cd path/to/reporoot/src/transformerbeemcp
mcp install server.py

If you installed the package via pip/uv

Modify your claude_desktop_config.json (that can be found in Claude Desktop menu via "Datei > Einstellungen > Entwickler > Konfiguration bearbeiten"):

{
  "mcpServers": {
    "TransformerBee.mcp": {
      "command": "C:\\github\\MyProject\\.myvenv\\Scripts\\run-transformerbee-mcp-server.exe",
      "args": [],
      "env": {
        "TRANSFORMERBEE_HOST": "http://localhost:5021",
        "TRANSFORMERBEE_CLIENT_ID": "",
        "TRANSFORMERBEE_CLIENT_SECRET": ""
      }
    }
  }
}

where C:\github\MyProject\.myvenv is the path to your virtual environment where you installed the package and localhost:5021 exposes transformer.bee running in a docker container. Alternatively, if you haven't configured this handy CLI command https://github.com/Hochfrequenz/TransformerBee.mcp/blob/c0898769670469df13f23b57a55fe4b71ed9795b/pyproject.toml#L101-L102

you can just call python with non-empty args.

Note that this package marks uv as a dev-dependency, so you might need to install it pip install transformerbeempc[dev] in your virtual environment as well as a lot of MCP tooling assumes you have uv installed.

For details about the environment variables and/or starting transformer.bee locally, check transformerbeeclient.py docs.

If you installed the package via Docker

{
  "mcpServers": {
    "TransformerBee.mcp": {
      "command": "docker",
      "args": [
        "run",
        "--network",
        "host",
        "-i",
        "--rm",
        "-e",
        "TRANSFORMERBEE_HOST=http://localhost:5021",
        "ghcr.io/hochfrequenz/transformerbee.mcp:latest"
      ],
      "env": {
        "TRANSFORMERBEE_HOST": "http://localhost:5021",
        "TRANSFORMERBEE_CLIENT_ID": "",
        "TRANSFORMERBEE_CLIENT_SECRET": ""
      }
    }
  }
}

I'm aware, that using the --network host option is a bit hacky and not best practice.