UMLmcp

UMLmcp

Enables users to generate PlantUML code for UML Class and Sequence diagrams using Google Gemini AI. Supports both domain JSON input and free text descriptions to create structured UML diagrams.

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README

UMLmcp

This project is a Python service that uses Google Gemini to generate PlantUML code for UML Class and Sequence diagrams. It exposes a gRPC interface and an MCP tool for generating UML diagrams.

Setup

  1. Create a virtual environment:

    python -m venv .venv
    source .venv/bin/activate
    
  2. Install the dependencies:

    pip install -r requirements.txt
    
  3. Create a key.txt file in the root of the project and paste your Gemini API key in the first line.

Generating gRPC stubs

To generate the gRPC stubs, run the following command:

python -m grpc_tools.protoc -I proto --python_out=grpc_server/generated --grpc_python_out=grpc_server/generated proto/uml_service.proto

Running the servers

gRPC server

To run the gRPC server, run the following command:

python -m grpc_server.server

MCP server

The MCP (Model-Context-Protocol) server exposes the generate_uml tool, allowing other processes to generate UML diagrams. To run the MCP server, use the following command:

python -m mcp_server.server

CLI usage

To use the CLI, run the following command:

python -m cli.main --mode [domain_json|free_text] --input <file or "-"> --class --sequence --outdir ./out

Testing

To run the tests, run the following command:

pytest -q

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