- ✓Open-source license (Apache-2.0)
- ✓Actively maintained (<30d)
- ✓Healthy fork ratio
- !No description
claude mcp add drawio-mcp -- npx -y @drawio/mcp{
"mcpServers": {
"drawio-mcp": {
"command": "npx",
"args": ["-y", "@drawio/mcp"]
}
}
}Resumen de MCP Servers
# Draw.io MCP Server The official [draw.io](https://www.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-app-server) | [MCP Tool Server](#mcp-tool-server) | [Assistant Plugins](#assistant-plugins-claude-code-codex-cli-github-copilot) | [Project Instructions](#alternative-project-instructions-no-mcp-required) | |---|---|---|---|---| | **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](https://modelcontextprotocol.io/docs/extensions/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](https://cursor.com/en/install-mcp?name=drawio&config=eyJ1cmwiOiJodHRwczovL21jcC5kcmF3LmlvL21jcCJ9)); on older builds, use the stdio [`@drawio/mcp`](mcp-tool-server/README.md) tool server instead. 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, 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`. **[Full documentation →](mcp-app-server/README.md)** > **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`](https://www.npmjs.com/package/@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 →](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/`](plugins/README.md)): 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 →](plugins/claude-code/README.md)) — 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 →](plugins/codex/drawio/README.md)) — install from the same marketplace repo: ```bash codex plugin marketplace add jgraph/drawio-mcp codex plugin add drawio@drawio ``` **GitHub Copilot CLI** ([full documentation →](plugins/copilot/README.md)) — install from the same marketplace repo: ```bash 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](plugins/copilot/README.md). 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 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: - **App Server:** build with the `VIEWER_PATH` environment variable to inline the viewer instead of loading it from `viewer.diagrams.net`. - **Tool Server:** set the `DRAWIO_BASE_URL` environment variable to a self-hosted draw.io instance. - **Assistant Plugins:** the opt-in `url` output mode opens the diagram at `app.diagrams.net` (hardcoded — no `DRAWIO_BASE_URL` equivalent). Use the default `.drawio` output or local Desktop export instead if you need to avoid that request. ### 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 re
Lo que la gente pregunta sobre drawio-mcp
¿Qué es jgraph/drawio-mcp?
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jgraph/drawio-mcp es mcp servers para el ecosistema de Claude AI con 5.1k estrellas en GitHub.
¿Cómo se instala drawio-mcp?
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Puedes instalar drawio-mcp clonando el repositorio (https://github.com/jgraph/drawio-mcp) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
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jgraph/drawio-mcp es mantenido por jgraph. La última actividad registrada en GitHub es de today, con 1 issues abiertos.
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Sí. En ClaudeWave puedes explorar mcp servers similares en /categories/mcp, ordenados por popularidad o actividad reciente.
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