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.
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
-
Create a virtual environment:
python -m venv .venv source .venv/bin/activate -
Install the dependencies:
pip install -r requirements.txt -
Create a
key.txtfile 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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