MCP Mermaid

# <img src="https://mermaid.js.org/favicon.svg" height="24"/> MCP Mermaid  [](https://github.com/hustcc/mcp-mermaid/actions/workflows/build.yml) [](https://www.npmjs.com/package/mcp-mermaid) [](https://smithery.ai/server/@hustcc/mcp-mermaid) [](https://www.npmjs.com/package/mcp-mermaid) [](https://archestra.ai/mcp-catalog/hustcc__mcp-mermaid) Generate <img src="https://mermaid.js.org/favicon.svg" height="14"/> [mermaid](https://mermaid.js.org/) diagram and chart with AI MCP dynamically. Also you can use <img src="https://mdn.alipayobjects.com/huamei_qa8qxu/afts/img/A*ZFK8SrovcqgAAAAAAAAAAAAAemJ7AQ/original" height="14"/> [mcp-server-chart](https://github.com/antvis/mcp-server-chart) to generate chart, graph, map. ## ✨ 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. <img width="720" alt="mcp-mermaid" src="https://mermaid.js.org/header.png" /> ## 🤖 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: ```json { "mcpServers": { "mcp-mermaid": { "command": "npx", "args": [ "-y", "mcp-mermaid" ] } } } ``` On Window system: ```json { "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. ## 🚰 Run with SSE or Streamable transport ### Option 1: Global Installation Install the package globally: ```bash npm install -g mcp-mermaid ``` Run the server with your preferred transport option: ```bash # 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: ```bash # 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) ## 🎮 CLI Options You can also use the following CLI options when running the MCP server. Command options by run cli with `-h`. ```plain 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: ```bash npm install ``` Build the server: ```bash npm run build ``` ### Start the MCP server **Using MCP Inspector (for debugging):** ```bash npm run start ``` **Using different transport protocols:** ```bash # SSE transport (Server-Sent Events) npm run start:sse # Streamable HTTP transport npm run start:streamable ``` **Direct node commands:** ```bash # SSE transport on port 3033 node build/index.js --transport sse --port 3033 # Streamable HTTP transport on port 1122 node build/index.js --transport streamable --port 1122 # STDIO transport (for MCP client integration) node build/index.js --transport stdio ``` ## 📄 License MIT@[hustcc](https://github.com/hustcc).