Narasimhaponnada/mermaid-mcp
by Various
π βοΈ π πͺ π§ - AI-powered Mermaid diagram generation with 22+ diagram types including flowcharts, sequence diagrams, class diagrams, ER diagrams, architecture diagrams, state mac
MCP
Narasimhaponnada/mermaid-mcp
Added 1 June 2026
Overview
This MCP server generates Mermaid diagrams from natural language using AI. It supports over 22 diagram types including flowcharts, sequence diagrams, class diagrams, ER diagrams, and architecture diagrams.
Best for
Best for
Developers using AI assistants who need to generate diagrams from plain text descriptions
Use cases
- Generate diagrams from natural language descriptions in AI chat interfaces
- Create documentation diagrams automatically during development
- Integrate diagram generation into MCP-compatible AI workflows
How to use
Install
npm install -g @narasimhaponnada/mermaid-mcp-server Tools exposed
Node.jsnpmyarnPuppeteer
Tested with
GitHub Copilot, Claude Desktop, Cursor IDE, VS Code
Example client config
{\n "github.copilot.mcp.servers": {\n "mermaid": {\n "command": "mermaid-mcp"\n }\n }\n} Notes
This MCP server generates Mermaid diagrams from natural language using AI. It supports over 22 diagram types including flowcharts, sequence diagrams, class diagrams, ER diagrams, and architecture diagrams.
45 stars on GitHub. Last updated 2025-11-05.
Use cases
- Generate diagrams from natural language descriptions in AI chat interfaces
- Create documentation diagrams automatically during development
- Integrate diagram generation into MCP-compatible AI workflows
Pros
- Supports a wide range of Mermaid diagram types (22+)
- Works with any MCP client for easy integration
- Open source with simple JavaScript implementation
Cons
- Small community adoption (45 stars) may mean limited support
- Requires an MCP-compatible AI client to function
- Depends on an AI model API key for generation
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Supports a wide range of Mermaid diagram types (22+)
- Works with any MCP client for easy integration
- Open source with simple JavaScript implementation
Cons
- Small community adoption (45 stars) may mean limited support
- Requires an MCP-compatible AI client to function
- Depends on an AI model API key for generation
Pairs with
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