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Narasimhaponnada/mermaid-mcp

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๐Ÿ“‡ โ˜๏ธ ๐ŸŽ ๐ŸชŸ ๐Ÿง - AI-powered Mermaid diagram generation with 22+ diagram types including flowcharts, sequence diagrams, class diagrams, ER diagrams, architecture diagrams, state mac

N

MCP

Narasimhaponnada/mermaid-mcp

Added 1 June 2026

#ai #architecture #automation #claude #cli-tool #copilot #devtools #diagrams

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

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