MCP Mermaid

Generate mermaid diagram and chart with AI MCP dynamically. Also you can use:

• mcp-server-chart to generate chart, graph, map.
• Infographic to generate infographic, such as Timeline, Comparison, List, Process and so on.
• 🖼️ figure.ling.pub/gallery to browse and share AI-generated diagrams and figures created with mcp-mermaid and other tools.

✨ Features

• Fully support all features and syntax of Mermaid.

• Support configuration of backgroundColor and theme, enabling large AI models to output rich style configurations.

• Support exporting to base64, svg, mermaid, file, and remote-friendly svg_url, png_url formats, with validation for Mermaid to facilitate the model's multi-round output of correct syntax and graphics. Use outputType: "file" to automatically save PNG diagrams to disk for AI agents, or the URL modes to share diagrams through public mermaid.ink links.

🤖 Usage

To use with Desktop APP, such as Claude, VSCode, Cline, Cherry Studio, and so on, add the MCP server config below. On Mac system:

{
  "mcpServers": {
    "mcp-mermaid": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-mermaid"
      ]
    }
  }
}

On Window system:

{
  "mcpServers": {
    "mcp-mermaid": {
      "command": "cmd",
      "args": [
        "/c",
        "npx",
        "-y",
        "mcp-mermaid"
      ]
    }
  }
}

Also, you can use it on aliyun, modelscope, glama.ai, smithery.ai or others with HTTP, SSE Protocol.

Access Points:

• SSE: http://localhost:3033/sse
• Streamable: http://localhost:1122/mcp

Available Docker Tags:

• susuperli/mcp-mermaid:latest - Latest stable version
• View all available tags at Docker Hub

🚰 Run with SSE or Streamable transport

Option 1: Global Installation

Install the package globally:

npm install -g mcp-mermaid

Run the server with your preferred transport option:

# For SSE transport (default endpoint: /sse)
mcp-mermaid -t sse

# For Streamable transport with custom endpoint
mcp-mermaid -t streamable

Option 2: Local Development

If you're working with the source code locally:

# Clone and setup
git clone https://github.com/hustcc/mcp-mermaid.git
cd mcp-mermaid
npm install
npm run build

# Run with npm scripts
npm run start:sse        # SSE transport on port 3033
npm run start:streamable # Streamable transport on port 1122

Access Points

Then you can access the server at:

• SSE transport: http://localhost:3033/sse
• Streamable transport: http://localhost:1122/mcp (local) or http://localhost:3033/mcp (global)

🎮

... View full README on GitHub