rapidchart-mcp

# RapidChart MCP Server Model Context Protocol (MCP) server for [RapidChart](https://rapidchart.com) - Generate and manage diagrams directly from Cursor IDE. ## Features - 🎨 Generate diagrams from code (Class, ER, Sequence, Architecture, etc.) - 🔄 Update existing diagrams with new code - 📁 Organize diagrams in workspaces and folders - 🤖 Support for multiple AI models (GPT-5, Claude, Gemini) - 🔐 Secure Bearer token authentication - 💳 Respects your RapidChart credits and API keys ## Installation ```bash pip install rapidchart-mcp ``` Or install from source: ```bash git clone https://github.com/Samicostox/rapidchart-mcp.git cd rapidchart-mcp pip install -e . ``` ## Configuration ### 1. Generate API Token 1. Go to [RapidChart Settings](https://rapidchart.com/settings) 2. Navigate to "API Tokens" 3. Click "Generate New Token" 4. Copy the token (starts with `rc_`) ### 2. Configure Cursor Add to your Cursor MCP settings (`~/.cursor/mcp.json` or workspace `.cursor/mcp.json`): ```json { "mcpServers": { "rapidchart": { "command": "python", "args": ["-m", "rapidchart_mcp"], "env": { "RAPIDCHART_API_TOKEN": "rc_your_token_here", "RAPIDCHART_API_URL": "https://fastuml-0bb6938ba599.herokuapp.com", "RAPIDCHART_DEFAULT_TYPE": "general", "RAPIDCHART_FEW_PROMPTS": "false", "RAPIDCHART_GUIDELINES": "true" } } } } ``` ## Usage ### In Cursor Once configured, you can use natural language: ``` User: "Generate a class diagram from src/models.py" → Cursor reads the file and calls RapidChart MCP → Returns diagram URL User: "List my available AI models" → Shows models with your credit status User: "Update diagram abc123 with new code from src/models.py" → Updates the diagram with context awareness ``` ### Available Tools - `list_models` - Show available AI models and your credits - `list_workspaces` - List your workspaces - `list_folders` - List folders in a workspace - `list_diagrams` - Br…