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MCP server · Developer Tools

mcp

MCP Server for Draw.io

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Scored 12 days ago · breakdown

About mcp

mcp is an MCP server published by git+jgraph in the Developer Tools category: mCP Server for Draw.io.

The repository has 2 stars and 0 forks.

Install

Install
npx @drawio/mcp
Claude Code
claude mcp add drawio-mcp -- npx -y @drawio/mcp
npx
npx -y @drawio/mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

  • ✓README presentThe repository ships documentation.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

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README

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 Skill + CLI Project Instructions
How it works Renders diagrams inline in chat Opens diagrams in your browser Generates .drawio files, optional PNG/SVG/PDF export Claude generates draw.io URLs via Python
Diagram output Interactive viewer embedded in conversation draw.io editor in a new tab .drawio or .drawio.png / .svg / .pdf Clickable link to draw.io
Requires installation No (hosted at mcp.draw.io) Yes (npm package) Copy skill file + draw.io Desktop 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, any MCP Apps host Claude Desktop, any MCP client Claude Code 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 or any MCP Apps-compatible host — no installation required.

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

Tools:

  • create_diagram — Renders draw.io XML 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. Returns exact style strings that can be used directly in XML. Use this to find the correct shape before calling create_diagram.

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

Full documentation →


Skill + CLI

A Claude Code skill that generates native .drawio files, with optional export to PNG, SVG, or PDF (with embedded XML so the exported file remains editable in draw.io). No MCP setup required — just copy a skill file.

By default, the skill writes a .drawio file and opens it in draw.io. Mention a format in your request (/drawio png ...) to export using the draw.io desktop CLI with --embed-diagram.

Full documentation →


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 →


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)
Skill + CLI References 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 draw.io client source code (app.min.js) by running all sidebar palette initializations in Node.js via jsdom and capturing the shape data.

# Generate the shape search index (requires ../drawio-dev checkout)
cd shape-search
npm install
DRAWIO_DEV_PATH=../../drawio-dev node generate-index.js

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

When to regenerate: Re-run generate-index.js after updating drawio-dev (new shapes, renamed stencils, updated style strings). The script loads app.min.js and all sidebar palettes, so it captures any changes to the shape libraries automatically.

The generated search-index.json is committed to the repository so that the MCP App Server can be built and deployed without a local drawio-dev checkout.


Development

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

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

Related Resources

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About mcp

How do I install mcp?

Run npx @drawio/mcp, then add the server to your MCP client's configuration.

Is mcp safe to use with an AI agent?

Its trust score is 60 out of 100 (good). It passes 1 of the 2 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is mcp still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.