TransformerBee.MCP

by hochfrequenz

1 stars
261 downloads
Not rated
GitHub

About

An MCP server for the transformer.bee service, configurable via environment variables.

Details

Author
hochfrequenz
GitHub stars
1
Downloads
261
Categories
Developer Tools, Other

- MCP server wrapping the transformer.bee converter.
- Installable as Python package or Docker container.
- CLI entry point for easy startup.
- Environment‑variable configuration for host and credentials.
- Pre‑configured for integration with Claude Desktop.
- Built on python-mcp and transformerbeeclient.py.

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name TransformerBee.MCP
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

Install the package via pip install transformerbeemcp or uv install transformerbeemcp, or pull the Docker image ghcr.io/hochfrequenz/transformerbee.mcp:latest. Start the server with the CLI command run-transformerbee-mcp-server (when installed as a package) or via Docker. Configure the required environment variables (TRANSFORMERBEE_HOST, optionally TRANSFORMERBEE_CLIENT_ID and TRANSFORMERBEE_CLIENT_SECRET) to point to a running transformer.bee instance. Register the server in Claude Desktop by editing claude_desktop_config.json or using fastmcp install server.py from the repo root.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "transformerbee.mcp": {
            "TransformerBee.mcp": {
                "command": "docker",
                "args": [
                    "pull",
                    "ghcr.io/hochfrequenz/transformerbee.mcp:latest"
                ]
            }
        }
    }
}

McpServers

{
    "TransformerBee.mcp": {
        "command": "docker",
        "args": [
            "pull",
            "ghcr.io/hochfrequenz/transformerbee.mcp:latest"
        ]
    }
}

An MCP server for the transformer.bee service, configurable via environment variables.

This is a simple PoC of a Model Context Protocol (MCP) server fortransformer.bee, written in Python. Under the hood it usespython-mcpandtransformerbeeclient.py.

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

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

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

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 thetransformerbeeclient.pydocs.)

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

Modify yourclaude_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": "" } } } }

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

you can just call python with non-empty args.

Note that a lot of MCP tooling assumes you haveuvinstalled, so you might need to install it in your virtual environment as well.

For details about the environment variables and/or starting transformer.bee locally, checktransformerbeeclient.pydocs.

{ "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 hostoption is a bit hacky and not best practice.

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