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Renders Mermaid diagram syntax to PNG or SVG images for LLM clients
About
Renders Mermaid diagram syntax to PNG or SVG images for LLM clients
Security Report
A well-architected MCP server for rendering Mermaid diagrams with solid security practices. Authentication is optional but properly implemented for HTTP mode, input validation is comprehensive, and dangerous operations (subprocess calls) are carefully constrained. Minor concerns around subprocess invocation and temporary file cleanup do not materially impact security given the benign nature of mermaid-cli. Supply chain analysis found 3 known vulnerabilities in dependencies (0 critical, 3 high severity). Package verification found 1 issue.
5 files analyzed · 9 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
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This plugin requests these system permissions. Most are normal for its category.
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-tci-nebula-mermaid-render-mcp": {
"args": [
"-y",
"mermaid-render-mcp"
],
"command": "npx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
mermaid-mcp
An MCP server that renders Mermaid diagrams to PNG, SVG, or PDF — or converts them to editable draw.io files. Give your LLM the ability to turn diagram syntax into actual images and documents.
Quick start
Claude Code
claude mcp add mermaid -- npx -y mermaid-render-mcp
Claude Desktop
Add to claude_desktop_config.json:
{
"mcpServers": {
"mermaid": {
"command": "npx",
"args": ["-y", "mermaid-render-mcp"]
}
}
}
Note: the first run downloads headless Chromium (~150 MB), so the initial startup takes a few minutes. If you only need flowcharts and can work with editable files, the
drawiofast path skips Chromium entirely.
Docker
No Node.js or Chromium download needed — the image ships with everything (including CJK fonts for Japanese/Chinese/Korean labels):
claude mcp add mermaid -- docker run -i --rm tcinebula/mermaid-render-mcp
To use output_path, mount a host directory and write into it:
{
"mcpServers": {
"mermaid": {
"command": "docker",
"args": ["run", "-i", "--rm", "-v", "C:\\diagrams:/out", "tcinebula/mermaid-render-mcp"]
}
}
}
Then pass output_path: "/out/figure.pdf" and the file appears in C:\diagrams.
Remote / self-hosted (HTTP)
The same server speaks Streamable HTTP when PORT is set (or MCP_TRANSPORT=http), so it can be deployed to any container host — Railway, Fly.io, etc. — straight from the Dockerfile:
- Endpoint:
POST /mcp(health check at/healthz) - Set
AUTH_TOKENto requireAuthorization: Bearer <token> output_pathis disabled in HTTP mode; base64/XML responses only
From source
git clone https://github.com/tci-nebula/mermaid-mcp.git
cd mermaid-mcp
npm install
claude mcp add mermaid -- node /path/to/mermaid-mcp/server.js
Tool: render_diagram
| Parameter | Type | Default | Description |
|---|---|---|---|
syntax | string | (required) | Mermaid diagram definition |
format | png | svg | pdf | drawio | png | Output format (drawio = editable draw.io XML, flowcharts only) |
theme | default | dark | neutral | forest | default | Visual theme |
background | string | white | CSS colour or transparent |
width | number | 1200 | Canvas width in px (PNG only) |
pdfFit | boolean | true | Scale the PDF page to fit the diagram (PDF only) |
output_path | string | — | Write the result to this file path instead of returning base64 |
Returns the rendered image as base64-encoded data so MCP clients can display it inline — or, with output_path, writes the file to disk (handy for PDFs destined for printing or formal document submission).
Example
Ask your LLM:
"Draw me a flowchart of the OAuth login flow"
It generates the Mermaid syntax, calls render_diagram, and you get back a PNG.
The drawio fast path (no Chromium)
format: "drawio" is the one output that never touches a browser. It's pure JavaScript — parse, lay out with dagre, emit XML — so there's no Chromium download, no ~150 MB install, and no multi-minute first run. Conversion is effectively instant.
Reach for it when:
- you want the diagram editable rather than flat — every shape stays a real draw.io object
- you're on a constrained box (CI, a slim container, a locked-down laptop) where downloading Chromium isn't practical
- you just want the diagram now and don't need a raster image
{
"syntax": "flowchart TD\n A[Start] --> B{OK?}\n B -->|yes| C[Ship]\n B -->|no| A",
"format": "drawio",
"output_path": "flow.drawio"
}
Open the result in draw.io (or the VS Code extension) and export to PNG/SVG/PDF from there if you do need an image — that's a complete Chromium-free round trip.
Limits
- Flowcharts only.
flowchartandgraphdiagrams convert; sequence, class, state, ER, and gantt throw an error. Use PNG/SVG/PDF for those. theme,background, andwidthare ignored. Styling is draw.io's job once the file is open.- Node sizes are estimated from label length, not measured font metrics. draw.io re-measures text when it opens the file so boxes settle correctly — but treat the raw XML geometry as approximate.
Supported syntax: directions TD / TB / BT / LR / RL; shapes [rect], (rounded), {rhombus}, ((circle)), ([stadium]), [[subroutine]], [(cylinder)], {{hexagon}}; edges -->, ---, -.->, ==>, <-->, each optionally carrying a |label|.
How it works
PNG, SVG, and PDF rendering shells out to @mermaid-js/mermaid-cli (bundled as a dependency), which uses a headless Chromium to render diagrams. First npm install downloads Chromium (~150 MB), so it takes a few minutes.
draw.io export is pure JavaScript — a flowchart parser plus dagre layout (the same engine Mermaid uses) emit native mxGraphModel XML, so every shape stays individually editable in draw.io.
Requirements
- Node.js 18+
Roadmap
- PDF export (formal/legal document workflows)
- draw.io XML export (editable diagrams — flowcharts)
- npm package (
mermaid-render-mcp) - Remote-hosted server option (Streamable HTTP transport)
License
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