Uses Google Gemini AI to generate PlantUML code for creating UML Class and Sequence diagrams from domain descriptions or free text input
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@UMLmcp create a sequence diagram for user login flow"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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.
Create a virtual environment:
python -m venv .venv
source .venv/bin/activateInstall the dependencies:
pip install -r requirements.txtCreate a key.txt file in the root of the project and paste your Gemini API key in the first line.
Related MCP server: PlantUML MCP Server
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.protoTo run the gRPC server, run the following command:
python -m grpc_server.serverThe 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.serverTo use the CLI, run the following command:
python -m cli.main --mode [domain_json|free_text] --input <file or "-"> --class --sequence --outdir ./outTo run the tests, run the following command:
pytest -qThis server cannot be deployed
Render, validate, encode/decode PlantUML diagram-as-code; 22 diagram types. Free, no auth.
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