- mcp-server-diagramai
mcp-server-diagramai
Content
mcp-server-diagramai
An MCP server implementation for DiagramAI integration, enabling AI agents to create, read, edit, and delete diagrams in real-time.
Features
Resources
- Expose diagram list and project structure
- Real-time diagram state access
- Project-based organization
Tools
- create_diagram: Create new diagrams with specified content
- get_diagram: Retrieve diagram by ID
- update_diagram: Modify existing diagrams
- delete_diagram: Remove diagrams
- add_node: Add nodes to diagrams
- add_edge: Add connections between nodes
- list_diagrams: Get all accessible diagrams
- get_diagram_status: Check diagram state and metadata
Installation
From npm (Recommended)
npm install -g mcp-server-diagramai
From source
git clone https://github.com/PadsterH2012/mcp-server-diagramai.git
cd mcp-server-diagramai
npm install
npm run build
Usage with Claude Desktop
Configuration File
Paths to Claude Desktop config file:
- MacOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json
Published Package Configuration
{
"mcpServers": {
"diagramai": {
"command": "npx",
"args": [
"mcp-server-diagramai",
"--api-url", "${DIAGRAMAI_API_URL}",
"--api-key", "${DIAGRAMAI_API_KEY}"
]
}
}
}
Development Configuration
{
"mcpServers": {
"diagramai": {
"command": "/PATH/TO/node",
"args": [
"/PATH/TO/mcp-server-diagramai/dist/index.js"
],
"env": {
"DIAGRAMAI_API_URL": "http://localhost:3000",
"DIAGRAMAI_API_KEY": "your-api-key-here"
}
}
}
}
Environment Variables
Create a .env file or set environment variables:
# DiagramAI API Configuration
DIAGRAMAI_API_URL=http://localhost:3000
DIAGRAMAI_API_KEY=your-api-key-here
# Optional: WebSocket URL (if different from API URL)
DIAGRAMAI_WS_URL=ws://localhost:3000
# Optional: Request timeout (milliseconds)
REQUEST_TIMEOUT=30000
# Optional: Enable debug logging
DEBUG=false
API Key Setup
- Access DiagramAI Settings: Navigate to your DiagramAI instance settings
- Generate API Key: Create a new API key with appropriate permissions
- Configure MCP: Add the API key to your Claude Desktop configuration
Required Permissions
diagrams:create- Create new diagramsdiagrams:read- Read diagram contentdiagrams:update- Modify diagramsdiagrams:delete- Delete diagramsprojects:read- Access project information
Available Tools
Diagram Management
// Create a new diagram
create_diagram({
title: "My Flowchart",
type: "reactflow", // or "mermaid"
content: {...}, // Diagram content
projectId?: "project-uuid"
})
// Get diagram by ID
get_diagram({
diagramId: "diagram-uuid"
})
// Update existing diagram
update_diagram({
diagramId: "diagram-uuid",
title?: "New Title",
content?: {...}
})
// Delete diagram
delete_diagram({
diagramId: "diagram-uuid"
})
// List all diagrams
list_diagrams({
projectId?: "project-uuid",
limit?: 10
})
Node and Edge Operations
// Add node to diagram
add_node({
diagramId: "diagram-uuid",
node: {
id: "node-1",
type: "process",
position: { x: 100, y: 100 },
data: { label: "Process Step" }
}
})
// Add edge between nodes
add_edge({
diagramId: "diagram-uuid",
edge: {
id: "edge-1",
source: "node-1",
target: "node-2"
}
})
Development
Building
npm run build
Running in Development
npm run dev
Testing
npm test
Troubleshooting
Common Issues
Connection Failed
- Verify DiagramAI is running and accessible
- Check API URL and port configuration
- Ensure API key is valid and has required permissions
Authentication Errors
- Verify API key format (should start with
da_) - Check API key permissions in DiagramAI settings
- Ensure API key hasn't expired
Tool Execution Errors
- Check diagram ID format (should be valid UUID)
- Verify user has access to the specified diagram
- Check network connectivity to DiagramAI instance
Debug Mode
Enable debug logging by setting DEBUG=true in your environment variables.
License
This project is licensed under the MIT License - see the LICENSE file for details.
Contributing
- Fork the repository
- Create your feature branch (
git checkout -b feature/amazing-feature) - Commit your changes (
git commit -m 'Add some amazing feature') - Push to the branch (
git push origin feature/amazing-feature) - Open a Pull Request
Support
Recommend Servers
TraeBuild with Free GPT-4.1 & Claude 3.7. Fully MCP-Ready.
ChatWiseThe second fastest AI chatbot™
WindsurfThe new purpose-built IDE to harness magic
EdgeOne Pages MCPAn MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.
Baidu Map百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Jina AI MCP ToolsA Model Context Protocol (MCP) server that integrates with Jina AI Search Foundation APIs.
TimeA Model Context Protocol server that provides time and timezone conversion capabilities. This server enables LLMs to get current time information and perform timezone conversions using IANA timezone names, with automatic system timezone detection.
MiniMax MCPOfficial MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.
AiimagemultistyleA Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.
Serper MCP ServerA Serper MCP Server
MCP AdvisorMCP Advisor & Installation - Use the right MCP server for your needs
DeepChatYour AI Partner on Desktop
Amap Maps高德地图官方 MCP Server
BlenderBlenderMCP connects Blender to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Blender. This integration enables prompt assisted 3D modeling, scene creation, and manipulation.
Visual Studio Code - Open Source ("Code - OSS")Visual Studio Code
Tavily Mcp
CursorThe AI Code Editor
Howtocook Mcp基于Anduin2017 / HowToCook (程序员在家做饭指南)的mcp server,帮你推荐菜谱、规划膳食,解决“今天吃什么“的世纪难题;
Based on Anduin2017/HowToCook (Programmer's Guide to Cooking at Home), MCP Server helps you recommend recipes, plan meals, and solve the century old problem of "what to eat today"
Context7Context7 MCP Server -- Up-to-date code documentation for LLMs and AI code editors
Zhipu Web SearchZhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.
Playwright McpPlaywright MCP server