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MCP server · AI

Antoinebou12 Uml MCP

UML-MCP Server is a UML diagram generation tool based on MCP (Model Context Protocol), which can help users generate various types of UML diagrams through natural language description or directly writing PlantUML and Mermaid and Kroki

Unclaimed MIT last commit 6 months ago ai
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About Antoinebou12 Uml MCP

Antoinebou12 Uml MCP is an MCP server published by iflow-mcp in the AI category: uML-MCP Server is a UML diagram generation tool based on MCP (Model Context Protocol), which can help users generate various types of UML diagrams through natural language description or directly writing PlantUML and Mermaid and Kroki. It has been installed 0 times through Conduid.

Six months or more without a commit doesn't mean the server is broken, but check the open issues (0) before depending on it in production.

Install

Install
npx antoinebou12-uml-mcp

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README

UML-MCP: A Diagram Generation Server with MCP Interface

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UML-MCP is a powerful diagram generation server that implements the Model Context Protocol (MCP), enabling seamless diagram creation directly from AI assistants and other applications.

🌟 Features

  • Multiple Diagram Types: Support for UML diagrams (Class, Sequence, Activity, etc.), Mermaid, D2, and more
  • MCP Integration: Seamless integration with LLM assistants supporting the Model Context Protocol
  • Playground Links: Direct links to online editors for each diagram type
  • Multiple Output Formats: SVG, PNG, PDF, and other format options
  • Easy Configuration: Works with local and remote diagram rendering services

📋 Supported Diagram Types

UML-MCP supports a wide variety of diagram types:

Category Diagram Types
UML Class, Sequence, Activity, Use Case, State, Component, Deployment, Object
Other Mermaid, D2, Graphviz, ERD, BlockDiag, BPMN, C4 with PlantUML

🚀 Getting Started

Prerequisites

  • Python 3.10 or higher
  • pip (Python package installer)

Installation

  1. Clone the repository:
git clone https://github.com/yourusername/uml-mcp.git
cd uml-mcp
  1. Install the dependencies:
pip install -r requirements.txt
  1. For development environments:
pip install -r requirements-dev.txt

Running the Server

Start the MCP server:

python mcp_server.py

This will start the server using stdio for communication with MCP clients.

🔧 Configuration

Editor Integration

Cursor

To integrate with Cursor:

python mcp/install_to_cursor.py

Or manually configure in Cursor settings:

"mcpServers": {
  "UML-MCP-Server": {
    "command": "python",
    "args": ["/path/to/uml-mcp/mcp_server.py"],
    "output_dir": "/path/to/output"
  }
}

Environment Variables

  • MCP_OUTPUT_DIR - Directory to save generated diagrams (default: ./output)
  • KROKI_SERVER - URL of the Kroki server (default: https://kroki.io)
  • PLANTUML_SERVER - URL of the PlantUML server (default: http://plantuml-server:8080)
  • USE_LOCAL_KROKI - Use local Kroki server (true/false)
  • USE_LOCAL_PLANTUML - Use local PlantUML server (true/false)

📚 Documentation

For detailed documentation, visit the docs directory or our documentation site.

🧩 Architecture

UML-MCP is built with a modular architecture:

  • MCP Server Core: Handles MCP protocol communication
  • Diagram Generators: Supporting different diagram types
  • Tools: Expose diagram generation functionality through MCP
  • Resources: Provide templates and examples for various diagram types

🛠️ Local Development

For local development:

  1. Set up local PlantUML and/or Kroki servers:
# PlantUML
docker run -d -p 8080:8080 plantuml/plantuml-server

# Kroki
docker run -d -p 8000:8000 yuzutech/kroki
  1. Configure environment variables:
export USE_LOCAL_PLANTUML=true
export PLANTUML_SERVER=http://localhost:8080
export USE_LOCAL_KROKI=true  
export KROKI_SERVER=http://localhost:8000

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

👏 Acknowledgements

  • PlantUML - UML diagram generation
  • Kroki - Unified diagram generation service
  • Mermaid - Generation of diagrams from text
  • D2 - Modern diagram scripting language

UML-MCP Server

An MCP Server that provides UML diagram generation capabilities through various diagram rendering engines.

Components

Resources

The server provides several resources via the uml:// URI scheme:

  • uml://types: List of available UML diagram types
  • uml://templates: Templates for creating UML diagrams
  • uml://examples: Example UML diagrams for reference
  • uml://formats: Supported output formats for diagrams
  • uml://server-info: Information about the UML-MCP server

Tools

The server implements multiple diagram generation tools:

Universal UML Generator

  • generate_uml: Generate any UML diagram
    • Parameters: diagram_type, code, output_dir

Specific UML Diagram Tools

  • generate_class_diagram: Generate UML class diagrams
    • Parameters: code, output_dir
  • generate_sequence_diagram: Generate UML sequence diagrams
    • Parameters: code, output_dir
  • generate_activity_diagram: Generate UML activity diagrams
    • Parameters: code, output_dir
  • generate_usecase_diagram: Generate UML use case diagrams
    • Parameters: code, output_dir
  • generate_state_diagram: Generate UML state diagrams
    • Parameters: code, output_dir
  • generate_component_diagram: Generate UML component diagrams
    • Parameters: code, output_dir
  • generate_deployment_diagram: Generate UML deployment diagrams
    • Parameters: code, output_dir
  • generate_object_diagram: Generate UML object diagrams
    • Parameters: code, output_dir

Other Diagram Formats

  • generate_mermaid_diagram: Generate diagrams using Mermaid syntax
    • Parameters: code, output_dir
  • generate_d2_diagram: Generate diagrams using D2 syntax
    • Parameters: code, output_dir
  • generate_graphviz_diagram: Generate diagrams using Graphviz DOT syntax
    • Parameters: code, output_dir
  • generate_erd_diagram: Generate Entity-Relationship diagrams
    • Parameters: code, output_dir

Prompts

The server provides prompts to help create UML diagrams:

  • class_diagram: Create a UML class diagram showing classes, attributes, methods, and relationships
  • sequence_diagram: Create a UML sequence diagram showing interactions between objects over time
  • activity_diagram: Create a UML activity diagram showing workflows and business processes

Configuration

Install

Claude Desktop

On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "uml_diagram_generator": {
      "command": "python",
      "args": [
        "/path/to/uml-mcp/mcp_server.py"
      ]
    }
  }
}

Cursor Integration

The UML-MCP Server can also be integrated with Cursor:

{
  "mcpServers": {
    "uml_diagram_generator": {
      "command": "python",
      "args": [
        "/path/to/uml-mcp/mcp_server.py"
      ]
    }
  }
}

Usage

Command Line Arguments

usage: mcp_server.py [-h] [--debug] [--host HOST] [--port PORT] [--transport {stdio,http}] [--list-tools]

UML-MCP Diagram Generation Server

options:
  -h, --help            show this help message and exit
  --debug               Enable debug logging
  --host HOST           Server host (default: 127.0.0.1)
  --port PORT           Server port (default: 8000)
  --transport {stdio,http}
                        Transport protocol (default: stdio)
  --list-tools          List available tools and exit

Environment Variables

  • LOG_LEVEL: Set logging level (DEBUG, INFO, WARNING, ERROR, CRITICAL)
  • UML_MCP_OUTPUT_DIR: Directory to store generated diagram files
  • KROKI_SERVER: Kroki server URL for diagram rendering
  • PLANTUML_SERVER: PlantUML server URL for diagram rendering
  • LIST_TOOLS: Set to "true" to display tools and exit

Example: Generating a Class Diagram

result = tool.call("generate_class_diagram", {
    "code": """
        @startuml
        class User {
          -id: int
          -name: string
          +login(): boolean
        }
        class Order {
          -id: int
          +addItem(item: string): void
        }
        User "1" -- "many" Order
        @enduml
    """,
    "output_dir": "/path/to/output"
})

Development

Building and Running

# Clone the repository
git clone https://github.com/your-username/uml-mcp.git
cd uml-mcp

# Install dependencies
pip install -r requirements.txt

# Run the server
python mcp_server.py

Debugging

For debugging, you can run the server with:

python mcp_server.py --debug

Debug logs will be stored in the logs/ directory.

Running Tests

# Run all tests
pytest

# Run specific tests
pytest tests/test_diagram_tools.py

README mirrored from the source repository 3 months ago. The original is authoritative.

Questions

About Antoinebou12 Uml MCP

How do I install Antoinebou12 Uml MCP?

Run npx antoinebou12-uml-mcp, then add the server to your MCP client's configuration. Conduid has recorded 0 installs, so the command is known to work with current clients.

Is Antoinebou12 Uml MCP safe to use with an AI agent?

Its trust score is 54 out of 100 (fair). It passes 0 of 1 static security checks; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Antoinebou12 Uml MCP still maintained?

The last commit was 6 months ago, with 0 open issues. That's long enough that you should check whether the maintainer is responding to issues before depending on it.