draw.io

Name: draw.io
Author: jgraph

by jgraphversion 1.5.0i★ –iRuns in the cloud

Registry nameio.draw/mcp

Install

Overview

Description from the maker (original English)

Create draw.io diagrams in chat from Mermaid or XML, shown live and interactive. 10,000+ shapes.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs in the cloud
Transport: Streamable HTTP
Category: Chat & email

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on the maker’s server: what you ask it goes through their server.
The registry lists no key to fill in.

You need

Runs in the cloudNothing to install; it connects over the internet

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

Open Settings → Connectors
Press Add custom connector
Paste the address below and press Add
If it asks you to sign in, sign in with the maker

https://mcp.draw.io/mcp

Run this in your terminal

claude mcp add --transport http draw https://mcp.draw.io/mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "draw": {
      "url": "https://mcp.draw.io/mcp"
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "draw": {
      "type": "http",
      "url": "https://mcp.draw.io/mcp"
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

ChatGPT connects only to servers on the internet:

Open ChatGPT on the web → Settings → Connectors (Apps)
Press Create or Add (some plans need Developer mode under Advanced first)
Paste the address below, give it a name and save
If it asks you to sign in, sign in with the maker

https://mcp.draw.io/mcp

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

✓ Pass
Maker matches the repo
The registry name was verified against the domain draw.io (the registry checks domain ownership)
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
… Not checked yet
Endpoint responds
Not checked yet; we check endpoints in rotation
… Not checked yet
Sign-in with OAuth
Not checked yet; we check endpoints in rotation
… Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint

Compared with others in Chat & emaili

More stars than 0% of the other 1765 servers in this category
Published to the registry more recently than 85% of the other 1765 servers in this category
Basic checks equal to or better than 100% of the other 1765 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is draw.io safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.5.0) reached the registry 4 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Vexa, emailmd, MCP WhatsApp Cloud

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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:

	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 and Mermaid	✅ All three	XML and Mermaid (Mermaid needs draw.io Desktop)	✅ All three
Editable in draw.io	Via "Open in draw.io" button	✅ Directly	✅ Directly	Via link
Works with	Claude.ai, ChatGPT, VS Code, Cursor, GitHub Copilot CLI, any MCP Apps host	Claude Desktop, Cursor, OpenCode, any MCP client	Claude Code, Codex CLI, GitHub Copilot, Cursor, Antigravity, OpenCode	Claude.ai (with Projects)
Best for	Inline previews in chat	Local desktop workflows	Local development workflows	Quick setup, no install needed

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.

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.

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)

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.

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)

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`)	—

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.

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, the `jgraph/drawio-mcp` Docker image, 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, Cursor, Antigravity) | No — written locally and exported by your local draw.io Desktop CLI. The Claude Code and Cursor plugins

Only the beginning is shown; read the rest in the repo

draw.io

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Chat & emaili

Common questions

Alternatives

Vexa

emailmd

MCP WhatsApp Cloud

README from the maker

Draw.io MCP Server

Four Ways to Create Diagrams

Guides

MCP App Server

MCP Tool Server

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

Alternative: Project Instructions (No MCP Required)

Diagram layouts

Data Residency & Offline Use

Does your diagram leave the machine?