Sailor

Once configured, you can use natural language commands in Claude Desktop:

- "Use sailor-mermaid to create a flowchart showing a login process"
- "Generate a sequence diagram with sailor-mermaid showing API calls"
- "Create a Gantt chart for a project timeline using sailor-mermaid"
- "Show me examples of Mermaid diagrams with sailor-mermaid"

Images are automatically saved to your configured output directory.

When using Sailor via a remote MCP server (like Railway), the server cannot write to your local filesystem. Usereturn_base64_text=trueto get the image as extractable base64:

# The response includes base64_data which you can save via: echo "<base64_data>" | base64 -d > diagram.png

Interactive wizards to help you create diagrams through guided conversations:

- Themes:default,dark,forest,neutral
- Look:classic,handDrawn
- Background:transparent,white
- Direction:TB(top-bottom),LR(left-right),BT,RL

sailor/ ├── backend/ # Web UI Flask application │ ├── app.py # Main Flask server │ ├── static/ # Frontend files (HTML/CSS/JS) │ ├── requirements.txt # Web UI dependencies │ └── .env.example # Environment template ├── src/ │ └── sailor_mcp/ # FastMCP server implementation │ ├── server.py # Main MCP server with decorators │ ├── renderer.py # Mermaid rendering engine │ ├── validators.py # Syntax validation │ ├── prompts.py # AI prompt templates │ └── mermaid_resources.py # Examples and templates ├── tests/ # Comprehensive test suite ├── Dockerfile.mcp-stdio # MCP server container ├── docker-compose.yml # Multi-service setup ├── setup.py # Python package setup (v2.0.0) └── requirements.txt # FastMCP dependencies

# Setup environment cd backend cp .env.example .env # Edit .env with your API keys # Install dependencies pip install -r requirements.txt # Run Flask development server python app.py # Access at http://localhost:5000

# Create virtual environment python -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate # Install FastMCP and dependencies pip install fastmcp>=0.5.0 pip install -e . # Install Playwright browsers playwright install chromium # Run tests pytest # Run MCP server with stdio (Claude Desktop) python -m sailor_mcp.server # Run MCP server with HTTP/SSE (Web clients) python -m sailor_mcp.server --http --port 8000

# Run everything with Docker Compose docker-compose up --build # Web UI: http://localhost:5000 # MCP Server: Available for Claude Desktop integration

- Ensure Docker Desktop is running
- Check the image exists:docker images | grep sailor-mcp
- Verify config file location and JSON syntax
- Restart Claude Desktop completely

docker logs $(docker ps -a | grep sailor-mcp | awk '{print $1}')

Contributions are welcome! Please feel free to submit a Pull Request.
- Fork the repository
- Create your feature branch (git checkout -b feature/AmazingFeature)
- Commit your changes (git commit -m 'Add some AmazingFeature')
- Push to the branch (git push origin feature/AmazingFeature)
- Open a Pull Request

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