Skip to main content
Glama

UMLmcp

README.md1.37 kB
# 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: ```bash python -m venv .venv source .venv/bin/activate ``` 2. Install the dependencies: ```bash 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: ```bash 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: ```bash 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: ```bash python -m mcp_server.server ``` ## CLI usage To use the CLI, run the following command: ```bash 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: ```bash pytest -q ```

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Cool-Coder174/UML-MCP'

If you have feedback or need assistance with the MCP directory API, please join our Discord server