Hustcc Mcp Mermaid

[圖片] MCP Mermaid [圖片] [build] [npm Version] [smithery badge] [npm License] [Trust Score]

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

• [圖片] mcp-server-chart to generate chart, graph, map.
• [圖片] 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 endpointmcp-mermaid -t streamable

Option 2: Local Development

If you're working with the source code locally:

# Clone and setupgit clone https://github.com/hustcc/mcp-mermaid.gitcd mcp-mermaidnpm installnpm run build
# Run with npm scriptsnpm run start:sse        # SSE transport on port 3033npm 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)

🎮 CLI Options

You can also use the following CLI options when running the MCP server. Command options by run cli with -h.

MCP Mermaid CLI
Options:  --transport, -t  Specify the transport protocol: "stdio", "sse", or "streamable" (default: "stdio")  --port, -p       Specify the port for SSE or streamable transport (default: 3033)  --endpoint, -e   Specify the endpoint for the transport:                    - For SSE: default is "/sse"                    - For streamable: default is "/mcp"  --help, -h       Show this help message

🔨 Development

Install dependencies:

npm install

Build the server:

npm run build

Start the MCP server

Using MCP Inspector (for debugging):

npm run start

Using different transport protocols:

# SSE transport (Server-Sent Events)npm run start:sse
# Streamable HTTP transportnpm run start:streamable

Direct node commands:

# SSE transport on port 3033node build/index.js --transport sse --port 3033
# Streamable HTTP transport on port 1122node build/index.js --transport streamable --port 1122
# STDIO transport (for MCP client integration)node build/index.js --transport stdio

🐳 Docker Usage

Run MCP Mermaid with Docker:

# Pull the imagedocker pull susuperli/mcp-mermaid:latest
# Run with SSE transport (default)docker run -p 3033:3033 susuperli/mcp-mermaid:latest --transport sse
# Run with streamable transportdocker run -p 1122:1122 susuperli/mcp-mermaid:latest --transport streamable --port 1122

📄 License

MIT@hustcc.