drawio

jgraph/drawio-mcp · updated Apr 8, 2026

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$npx skills add https://github.com/jgraph/drawio-mcp --skill drawio
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summary

Generate draw.io diagrams as native .drawio files. Optionally export to PNG, SVG, or PDF with the diagram XML embedded (so the exported file remains editable in draw.io).

skill.md

Draw.io Diagram Skill

Generate draw.io diagrams as native .drawio files. Optionally export to PNG, SVG, or PDF with the diagram XML embedded (so the exported file remains editable in draw.io).

How to create a diagram

  1. Generate draw.io XML in mxGraphModel format for the requested diagram
  2. Write the XML to a .drawio file in the current working directory using the Write tool
  3. If the user requested an export format (png, svg, pdf), locate the draw.io CLI (see below), export with --embed-diagram, then delete the source .drawio file. If the CLI is not found, keep the .drawio file and tell the user they can install the draw.io desktop app to enable export, or open the .drawio file directly
  4. Open the result — the exported file if exported, or the .drawio file otherwise. If the open command fails, print the file path so the user can open it manually

Choosing the output format

Check the user's request for a format preference. Examples:

  • /drawio create a flowchartflowchart.drawio
  • /drawio png flowchart for loginlogin-flow.drawio.png
  • /drawio svg: ER diagramer-diagram.drawio.svg
  • /drawio pdf architecture overviewarchitecture-overview.drawio.pdf

If no format is mentioned, just write the .drawio file and open it in draw.io. The user can always ask to export later.

Supported export formats

Format Embed XML Notes
png Yes (-e) Viewable everywhere, editable in draw.io
svg Yes (-e) Scalable, editable in draw.io
pdf Yes (-e) Printable, editable in draw.io
jpg No Lossy, no embedded XML support

PNG, SVG, and PDF all support --embed-diagram — the exported file contains the full diagram XML, so opening it in draw.io recovers the editable diagram.

draw.io CLI

The draw.io desktop app includes a command-line interface for exporting.

Locating the CLI

First, detect the environment, then locate the CLI accordingly:

WSL2 (Windows Subsystem for Linux)

WSL2 is detected when /proc/version contains microsoft or WSL:

grep -qi microsoft /proc/version 2>/dev/null && echo "WSL2"

On WSL2, use the Windows draw.io Desktop executable via /mnt/c/...:

DRAWIO_CMD=`/mnt/c/Program Files/draw.io/draw.io.exe`

The backtick quoting is required to handle the space in Program Files in bash.

If draw.io is installed in a non-default location, check common alternatives:

# Default install path
`/mnt/c/Program Files/draw.io/draw.io.exe`

# Per-user install (if the above does not exist)
`/mnt/c/Users/$WIN_USER/AppData/Local/Programs/draw.io/draw.io.exe`

macOS

/Applications/draw.io.app/Contents/MacOS/draw.io

Linux (native)

drawio   # typically on PATH via snap/apt/flatpak

Windows (native, non-WSL2)

"C:\Program Files\draw.io\draw.io.exe"

Use which drawio (or where drawio on Windows) to check if it's on PATH before falling back to the platform-specific path.

Export command

drawio -x -f <format> -e -b 10 -o <output> <input.drawio>

WSL2 example:

`/mnt/c/Program Files/draw.io/draw.io.exe` -x -f png -e -b 10 -o diagram.drawio.png diagram.drawio

Key flags:

  • -x / --export: export mode
  • -f / --format: output format (png, svg, pdf, jpg)
  • -e / --embed-diagram: embed diagram XML in the output (PNG, SVG, PDF only)
  • -o / --output: output file path
  • -b / --border: border width around diagram (default: 0)
  • -t / --transparent: transparent background (PNG only)
  • -s / --scale: scale the diagram size
  • --width / --height: fit into specified dimensions (preserves aspect ratio)
  • -a / --all-pages: export all pages (PDF only)
  • -p / --page-index: select a specific page (1-based)

Opening the result

Environment Command
macOS open <file>
Linux (native) xdg-open <file>
WSL2 cmd.exe /c start "" "$(wslpath -w <file>)"
Windows start <file>

WSL2 notes:

  • wslpath -w <file> converts a WSL2 path (e.g. /home/user/diagram.drawio) to a Windows path (e.g. C:\Users\...). This is required because cmd.exe cannot resolve /mnt/c/... style paths.
  • The empty string "" after start is required to prevent start from interpreting the filename as a window title.

WSL2 example:

cmd.exe /c start "" "$(wslpath -w diagram.drawio)"

File naming

  • Use a descriptive filename based on the diagram content (e.g., login-flow, database-schema)
  • Use lowercase with hyphens for multi-word names
  • For export, use double extensions: name.drawio.png, name.drawio.svg, name.drawio.pdf — this signals the file contains embedded diagram XML
  • After a successful export, delete the intermediate .drawio file — the exported file contains the full diagram

XML format

A .drawio file is native mxGraphModel XML. Always generate XML directly — Mermaid and CSV formats require server-side conversion and cannot be saved as native files.

Basic structure

Every diagram must have this structure:

<mxGraphModel adaptiveColors="auto">
  <root>
    <mxCell id="0"/>
    <mxCell id="1" parent="0"/>
    <!-- Diagram cells go here with parent="1" -->
  </root>
</mxGraphModel>
  • Cell id="0" is the root layer
  • Cell id="1" is the default parent layer
  • All diagram elements use parent="1" unless using multiple layers

XML reference

For the complete draw.io XML reference including common styles, edge routing, containers, layers, tags, metadata, dark mode colors, and XML well-formedness rules, fetch and follow the instructions at: https://raw.githubusercontent.com/jgraph/drawio-mcp/main/shared/xml-reference.md

Troubleshooting

Problem Cause Solution
draw.io CLI not found Desktop app not installed or not on PATH Keep the .drawio file and tell the user to install the draw.io desktop app, or open the file manually
Export produces empty/corrupt file Invalid XML (e.g. double hyphens in comments, unescaped special characters) Validate XML well-formedness before writing; see the XML well-formedness section below
Diagram opens but looks blank Missing root cells id="0" and id="1" Ensure the basic mxGraphModel structure is complete
Edges not rendering Edge mxCell is self-closing (no child mxGeometry element) Every edge must have <mxGeometry relative="1" as="geometry" /> as a child element
File won't open after export Incorrect file path or missing file association Print the absolute file path so the user can open it manually

CRITICAL: XML well-formedness

  • NEVER include ANY XML comments (<!-- -->) in the output. XML comments are strictly forbidden — they waste tokens, can cause parse errors, and serve no purpose in diagram XML.
  • Escape special characters in attribute values: &amp;, &lt;, &gt;, &quot;
  • Always use unique id values for each mxCell
how to use drawio

How to use drawio on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add drawio
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/jgraph/drawio-mcp --skill drawio

The skills CLI fetches drawio from GitHub repository jgraph/drawio-mcp and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/drawio

Reload or restart Cursor to activate drawio. Access the skill through slash commands (e.g., /drawio) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.625 reviews
  • Pratham Ware· Dec 28, 2024

    Useful defaults in drawio — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Diya Martinez· Dec 28, 2024

    Useful defaults in drawio — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Carlos Patel· Dec 16, 2024

    I recommend drawio for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Yash Thakker· Nov 19, 2024

    drawio is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Hana Thomas· Nov 19, 2024

    drawio is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Henry Rao· Nov 7, 2024

    Keeps context tight: drawio is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Henry Perez· Oct 26, 2024

    drawio is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Dhruvi Jain· Oct 10, 2024

    Keeps context tight: drawio is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Hana Verma· Oct 10, 2024

    Keeps context tight: drawio is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Jin Choi· Sep 9, 2024

    drawio reduced setup friction for our internal harness; good balance of opinion and flexibility.

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