drawio-mcp README

The project's README from github.com/jgraph/drawio-mcp. As one markdown file: README.md.

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.

Four Ways to Create Diagrams

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

MCP App Server MCP Tool Server Assistant Plugins Project Instructions
How it works Renders diagrams inline in chat Opens diagrams in your browser Generates .drawio files, optional PNG/SVG/PDF export or browser URL Claude generates draw.io URLs via Python
Diagram output Interactive viewer embedded in conversation draw.io editor in a new tab .drawio, .drawio.png / .svg / .pdf, or browser URL Clickable link to draw.io
Requires installation No (hosted at mcp.draw.io) Yes (npm package) One-line plugin install (draw.io Desktop only for PNG/SVG/PDF export) No — just paste instructions
Supports XML, CSV, Mermaid XML only ✅ All three XML only (native format) ✅ All three
Editable in draw.io Via "Open in draw.io" button ✅ Directly ✅ Directly Via link
Works with Claude.ai, VS Code, Cursor, any MCP Apps host Claude Desktop, Cursor, any MCP client Claude Code, Codex CLI, GitHub Copilot Claude.ai (with Projects)
Best for Inline previews in chat Local desktop workflows Local development workflows Quick setup, no install needed

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, Cursor, or any MCP Apps-compatible host — no installation required. 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.

You can also run the server locally via Node.js or deploy your own instance to Cloudflare Workers.

Tools:

Full documentation →

Note: Inline diagram rendering requires an MCP host that supports the MCP Apps extension. In hosts without MCP Apps support, the tool still works but returns the XML as text.


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), and Cursor (with one-click install).

Full documentation →


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. No MCP setup required. The same skill ships for three 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.

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


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 →


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:

Layout pass What it does App Server (create_diagram) Tool Server (open_drawio_xml) Assistant Plugins Project Instructions
ELK auto-layout (postLayout: "elk") Re-arranges nodes into a clean layered layout; routes the edges as part of it ✅ — ✅ via draw.io Desktop CLI (--layout) —
libavoid routing (routing: "libavoid") Keeps node positions; reroutes connectors orthogonally around the shapes ✅ ✅ from v1.3.0 ✅ via draw.io Desktop CLI (--layout libavoid) —

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?

Approach Diagram leaves the machine?
MCP App Server — hosted (mcp.draw.io) Yes — it is sent to the draw.io server as the MCP request. Self-host instead (below) to keep it local.
MCP App Server — self-hosted (local Node or your own Cloudflare) No — processed by your server and embedded in HTML that renders client-side.
MCP Tool Server (@drawio/mcp) No — carried in the URL #fragment, which browsers do not transmit to the server.
Assistant Plugins (Claude Code, Codex CLI, GitHub Copilot) No — written locally and exported by your local draw.io Desktop CLI.

By default the servers do not write diagram content to their logs — only request metadata (method, session, status, timing). The Cloudflare-hosted App Server logs response bodies only when run with DEBUG=true.

Reducing external requests

Even when the diagram itself stays local, the rendering loads draw.io's web-app / viewer code from app.diagrams.net and viewer.diagrams.net by default. These fetch application code and assets — not your diagram — but they are still outbound requests. To reduce or remove them:

Your LLM is a separate consideration

The diagram is generated by the LLM. If you use a hosted model, the diagram content is produced in that provider's cloud regardless of where this MCP server runs. End-to-end isolation requires a locally hosted model as well.

Verifying

The only reliable way to confirm a deployment makes no outbound calls is to run it with network egress blocked (or watch the browser's Network tab) and verify it still renders. We recommend this for any strict-isolation deployment.


XML Reference (Single Source of Truth)

The draw.io XML generation reference — covering edge routing, containers, layers, tags, metadata, dark mode, style properties, and XML well-formedness — lives in a single canonical file:

shared/xml-reference.md

All four approaches above use this file as their single source of truth for LLM prompts:

Approach How it accesses the reference
MCP App Server Reads the file at startup / build time and includes it in the tool description
MCP Tool Server Reads the file at startup (from repo or bundled copy via prepack)
Assistant Plugins (Claude Code, Codex CLI, GitHub Copilot) Reference the GitHub raw URL
Project Instructions Users copy its contents into their Claude Project

When updating XML generation guidance, edit only shared/xml-reference.md — changes propagate to all consumers automatically.


Shape Search Index

The search_shapes tool is powered by a pre-built index of all draw.io shapes. The index is generated from the live draw.io client (https://app.diagrams.net/js/app.min.js) by running all sidebar palette initializations in Node.js via jsdom and capturing the shape data.

Icons from the draw.io icon service (icons.diagrams.net — the same grouped icon search the editor sidebar uses) are not part of this index: search_shapes queries the service live when the local index has no strong match for a query, returning the icons as shape=image styles. Set DRAWIO_ICON_SERVICE_URL to a self-hosted service to override the endpoint, or to off to disable icon supplementation.

shape-search/search-index.json is committed to the repository and is automatically refreshed on every draw.io release via the Update Shape Search Index GitHub Action — no manual step is required to stay in sync with the latest shapes.

To regenerate the index manually (e.g. when iterating on the generator itself):

cd shape-search
npm install
npm run generate

# Rebuild the MCP App Server worker to embed the updated index
cd ../mcp-app-server
npm run build:worker

The generator fetches app.min.js directly from the public draw.io web app, so no local checkout of the draw.io source is needed.


Development

# MCP App Server
cd mcp-app-server
npm install
npm start

# MCP Tool Server
cd mcp-tool-server
npm install
npm start

drawio-mcp (jgraph/drawio-mcp)

Searching Database…

What is this?The official draw.io MCP server: it lets LLMs and AI assistants create diagrams and open them in the draw.io editor, from inline chat previews to .drawio files on disk.
Is it one server, or are there several ways to hook it into my AI assistant?Four ways in: an MCP App Server that renders diagrams inline in chat, an MCP Tool Server that opens them in your browser, plugins for AI coding assistants that write .drawio files, and paste-in project instructions with nothing to install.
How do I get it running?Add the hosted mcp.draw.io URL as a remote MCP server in Claude.ai, Cursor or any MCP Apps host — no install. Or run the tool server with 'npx @drawio/mcp', or install a plugin from the repo's marketplace in one line.
Which AI tools can I plug it into?The App Server works in Claude.ai, VS Code and Cursor; the Tool Server in Claude Desktop, Cursor and any MCP client; the plugins target Claude Code, Codex CLI and GitHub Copilot; the instructions mode only needs a Claude Project.
The inline chat preview sounds nice — does it work in every host?No. Inline rendering needs a host with MCP Apps support, like Claude.ai or Cursor 2.6+. Elsewhere the tool still works but returns the diagram as plain XML text, so you would use the browser-opening Tool Server there instead.
Does my diagram data leave my machine?Usually not: the Tool Server passes diagrams in the URL fragment browsers never transmit, and the plugins keep everything local, exporting via your own draw.io Desktop CLI. Only the hosted App Server sends data out — self-host it if that matters.
What can it actually draw — plain boxes or real icons like AWS and UML?Real ones: searchshapes searches 10,000+ shapes across all draw.io libraries — AWS, Azure, GCP, Kubernetes, UML, BPMN, Cisco, electrical and more — with a live icon service for brand logos, returning style strings ready to paste into your XML.
Which formats can I describe a diagram in?XML, CSV and Mermaid.js. The Tool Server and project instructions accept all three; the App Server and plugins work with draw.io XML, the native format that stays fully editable.
Can it clean up a messy layout on its own?Two optional passes: ELK auto-layout re-arranges nodes into a clean layered layout, while libavoid only reroutes connectors orthogonally around shapes you placed deliberately. Pick one, not both — ELK already routes its own edges.
Do I need draw.io Desktop installed for any of this?Not for the MCP servers or URL output — only the plugins' PNG/SVG/PDF export needs it, shelling out to your local draw.io Desktop CLI. Bonus: exports embed the XML, so exported files stay editable in draw.io.
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jgraph
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Updated
CommitOct 16
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Commits · 90 Days