draw.io

Draw.io MCP Server

The official draw.io MCP (Model Context Protocol) server that enables LLMs to create and open diagrams in the draw.io editor.

▶ Watch the video and set up draw.io in your AI assistant on drawio.com/mcp.

Four Ways to Create Diagrams

This repository offers four approaches for integrating draw.io with AI assistants. Pick the one that fits your setup:

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Guides

User guides with tested prompts and examples are in the draw.io documentation, and the setup for each assistant is on drawio.com/mcp:

• Write prompts: Mermaid or draw.io XML, speed and models
• Diagram types and examples and the gallery of every diagram type
• Change and style diagrams: changes by prompt, color themes, styles
• Install options and output formats
• Diagram viewer

The gallery is generated from docs/images/gallery/gallery.json and the editable light and dark SVGs next to it; drawio.com reads them when the site is built.

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MCP App Server

The MCP App server renders draw.io diagrams inline in AI chat interfaces using the MCP Apps protocol. Instead of opening a browser tab, diagrams appear directly in the conversation as interactive iframes.

The official hosted endpoint is available at:

https://mcp.draw.io/mcp

Add this URL as a remote MCP server in Claude.ai, ChatGPT, VS Code (GitHub Copilot), Cursor, GitHub Copilot CLI, or any MCP Apps-compatible host — no installation required. On Claude.ai, draw.io is also listed in the connector directory and can be added from there in one click; in ChatGPT and Codex, in the plugin directory. In Cursor (≥ 2.6), diagrams render inline in the Agent chat (one-click install); on older builds, use the stdio @drawio/mcp tool server instead. In GitHub Copilot CLI, run copilot mcp add --transport http drawio https://mcp.draw.io/mcp; a terminal can't show diagrams inline, so it gets a link that opens each diagram in draw.io.

You can also run the server locally via Node.js or the jgraph/drawio-mcp Docker image, or deploy your own instance to Cloudflare Workers.

Tools:

• `create_diagram` — Renders draw.io XML or Mermaid (28 diagram types) as an interactive diagram inline in chat
• `search_shapes` — Searches 10,000+ shapes across all draw.io libraries (AWS, Azure, GCP, P&ID, electrical, Cisco, Kubernetes, UML, BPMN, etc.) by keyword, supplemented by the draw.io icon service (brand logos and general-purpose concept icons) when the built-in libraries have no good match. Returns exact style strings that can be used directly in XML. Use this to find the correct shape before calling create_diagram.
• `get_drawio_reference` — Returns the XML or Mermaid generation reference, which the model reads once per format before its first diagram.

[Full documentation →](mcp-app-server/README.md)

Note: Diagrams appear inline in hosts that support the MCP Apps extension, such as Claude.ai, ChatGPT, VS Code with GitHub Copilot and Cursor. In other hosts, such as GitHub Copilot CLI, the tool still works and answers with a link that opens the diagram in draw.io.

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MCP Tool Server

The original MCP server that opens diagrams directly in the draw.io editor. Supports XML, CSV, and Mermaid.js formats with lightbox and dark mode options. Published as @drawio/mcp on npm.

Quick start: npx @drawio/mcp

Setup instructions are available for Claude Desktop, Claude Code, VS Code (GitHub Copilot), Cursor (with one-click install), and OpenCode.

[Full documentation →](mcp-tool-server/README.md)

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Assistant Plugins (Claude Code, Codex CLI, GitHub Copilot)

The drawio skill packaged as a plugin for AI coding assistants (under plugins/): it generates native .drawio files, with optional export to PNG, SVG, or PDF (with embedded XML so the exported file remains editable in draw.io) — or a browser URL that opens the diagram directly in app.diagrams.net. The Claude Code and Cursor plugins also bundle the hosted MCP App Server, so diagrams show inline where the host supports it; the Codex and Copilot ports need no MCP setup. The same skill ships for four hosts:

Claude Code (full documentation →) — install from this repo's marketplace:

/plugin marketplace add jgraph/drawio-mcp

/plugin install drawio@drawio

Or load it directly from a local clone with claude --plugin-dir ./plugins/claude-code.

Codex CLI (full documentation →) — install from the same marketplace repo:

codex plugin marketplace add jgraph/drawio-mcp

codex plugin add drawio@drawio

GitHub Copilot CLI (full documentation →) — install from the same marketplace repo:

copilot plugin marketplace add jgraph/drawio-mcp

copilot plugin install drawio@drawio

Other Copilot surfaces (VS Code agent mode, the coding agent, code review) load the same skill from a repo's .github/skills/ directory instead — see the plugin README.

Cursor (full documentation →) — the same skill plus the hosted MCP App Server, so diagrams also render inline in Cursor's Agent chat. Install it from the Cursor Marketplace (Customize → drawio → Install), or copy plugins/cursor to ~/.cursor/plugins/local/drawio and reload the window.

Antigravity (full documentation →) — install from the plugin's directory on GitHub:

agy plugin install https://github.com/jgraph/drawio-mcp/tree/main/plugins/antigravity

OpenCode needs no plugin at all: it discovers skills in .opencode/skills/ and .claude/skills/ (and their ~/ equivalents), so the Claude Code skill folder works as-is — see OpenCode (no plugin needed) for the one-line install.

By default, the plugin writes a .drawio file and opens it in draw.io. Mention a format in your request to change the output:

• png / svg / pdf — exports using the draw.io desktop CLI with --embed-diagram
• url — compresses the XML with Node.js's built-in zlib and opens the result at app.diagrams.net. No draw.io Desktop needed; the .drawio file is kept locally as a persistent copy.

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Alternative: Project Instructions (No MCP Required)

An alternative approach that works without installing anything. Add instructions to a Claude Project that teach Claude to generate draw.io URLs using Python code execution. No MCP server, no desktop app — just paste and go.

[Full documentation →](project-instructions/README.md)

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Diagram layouts

Two optional, independent layout passes can run after the AI generates a diagram — one re-arranges the nodes, the other only reroutes the edges. Which are available depends on the approach:

• These apply to draw.io XML diagrams. Mermaid diagrams are auto-laid-out already, so neither pass is needed.
• The App Server applies these in the inline viewer after the diagram renders; the Tool Server applies libavoid server-side before opening the draw.io editor; the plugins run them through the locally installed draw.io Desktop CLI.
• Pick one, not both: ELK already routes its own edges, so adding libavoid on top is redundant. Use postLayout to re-arrange a layout, or routing to tidy the connectors on a layout you placed deliberately.

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Data Residency & Offline Use

If you're deploying in an environment with strict data restrictions, here is exactly where diagram data goes for each approach.

No component sends your diagram to a cloud rasterizer. convert.diagrams.net (or any cloud export endpoint) is not called anywhere in this repository, and there is no "local dependency missing → fall back to cloud" path. PNG/SVG/PDF export happens only in the assistant plugins, which shell out to your locally installed draw.io Desktop CLI (located via which drawio); if it isn't installed, the .drawio file is kept and nothing is sent.

Does your diagram leave the machine?

| Assistant Plugins (Claude Code, Codex CLI, GitHub Copilot, Cursor, Antigravity) | No — written locally and exported by your local draw.io Desktop CLI. The Claude Code and Cursor plugins