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MCP server for Mermaid diagrams and charts
MCP Mermaid adds a diagram generation service to MCP-capable agents. It accepts Mermaid input, validates it, and can output Mermaid text, SVG, PNG, base64, or saved files for sharing and review.
Builders who use Claude, VS Code, Cline, Cherry Studio, or other MCP-compatible agents and want diagram output.
You can ask your agent to generate diagrams and charts without leaving your chat or editor.
What it does
Mermaid syntax support
Supports Mermaid features and syntax so the agent can produce standard diagrams.
Style configuration
Accepts `backgroundColor` and `theme` settings for richer visual output.
Multiple output formats
Can return `base64`, `svg`, `mermaid`, `file`, `svg_url`, and `png_url` outputs.
Validation for multi-round generation
Validates Mermaid content so agents can correct syntax across multiple turns.
MCP transport options
Runs over stdio, SSE, or streamable HTTP for different agent clients.
Docker and hosted access
Provides Docker images and endpoint options for local or remote use.
How to get it
- 1Install the package globally
npm install -g mcp-mermaid
- 2Run 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
- 3Run MCP Mermaid with Docker
# Pull the image docker pull susuperli/mcp-mermaid:latest # Run with SSE transport (default) docker run -p 3033:3033 susuperli/mcp-mermaid:latest --transport sse # Run with streamable transport docker run -p 1122:1122 susuperli/mcp-mermaid:latest --transport streamable --port 1122
README
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,Processand 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
backgroundColorandtheme, enabling large AI models to output rich style configurations. -
Support exporting to
base64,svg,mermaid,file, and remote-friendlysvg_url,png_urlformats, with validation forMermaidto facilitate the model's multi-round output of correct syntax and graphics. UseoutputType: "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) orhttp://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 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
🐳 Docker Usage
Run MCP Mermaid with Docker:
# Pull the image
docker pull susuperli/mcp-mermaid:latest
# Run with SSE transport (default)
docker run -p 3033:3033 susuperli/mcp-mermaid:latest --transport sse
# Run with streamable transport
docker run -p 1122:1122 susuperli/mcp-mermaid:latest --transport streamable --port 1122
📄 License
MIT@hustcc.
Files in the repo
- __tests__
- .github
- .husky
- src
- .dockerignore
- .gitignore
- .prettierrc
- biome.json
- Dockerfile
- glama.json
- LICENSE
- package.json
- README.md
- smithery.config.js
- smithery.yaml
- tsconfig.json
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