TransformerBee.mcp
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.