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. - Fully support all features and syntax of Mermaid. - Support configuration of backgroundColor and theme, enabling large AI models to output rich style configurations. - Support
Add this skill
npx mdskills install hustcc/mcp-mermaidWell-documented MCP server for generating Mermaid diagrams with multiple output formats and transport options
Generate mermaid diagram and chart with AI MCP dynamically. Also you can use:
Timeline, Comparison, List, Process and so on.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.
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.
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
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
Then you can access the server at:
http://localhost:3033/ssehttp://localhost:1122/mcp (local) or http://localhost:3033/mcp (global)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
Install dependencies:
npm install
Build the server:
npm run build
Using MCP Inspector (for debugging):
npm run start
Using different transport protocols:
# SSE transport (Server-Sent Events)
npm run start:sse
# Streamable HTTP transport
npm run start:streamable
Direct node commands:
# 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
MIT@hustcc.
Install via CLI
npx mdskills install hustcc/mcp-mermaidMCP Mermaid is a free, open-source AI agent skill. 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. - Fully support all features and syntax of Mermaid. - Support configuration of backgroundColor and theme, enabling large AI models to output rich style configurations. - Support
Install MCP Mermaid with a single command:
npx mdskills install hustcc/mcp-mermaidThis downloads the skill files into your project and your AI agent picks them up automatically.
MCP Mermaid works with Claude Code, Claude Desktop, Cursor, Vscode Copilot, Windsurf, Continue Dev, Gemini Cli, Amp, Roo Code, Goose. Skills use the open SKILL.md format which is compatible with any AI coding agent that reads markdown instructions.