Datadef
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Generate and edit data-architecture diagrams from your AI.
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- tlouvart
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Setup
Install Datadef in your MCP client (Claude Desktop, Cursor, Windsurf, and others).
Repository: https://github.com/tlouvart/datadef-mcp
Follow the installation instructions in the repository README, then restart your MCP client.
Data-architecture diagrams your AI generates, edits, and exports — from Claude, Cursor, VS Code, Gemini CLI, or any MCP client. Typed tables with columns, pipelines, column-level lineage, 2,000+ real tool icons. Exported PNGs come back inline in the chat.
This repo is the public home of theremoteMCP server athttps://datadef.io/mcp(Streamable HTTP). There is nothing to install from here — it exists for directories, install links, and issues.
The diagram below isnot a screenshot. It is a public Datadef diagram embedded by URL — when the diagram is edited, this image updates with it. That is the loop this server exists for: your agent draws and maintains the diagram, and every doc that embeds it stays current.
Two ways in — both included in the 7-day free trial:
claude mcp add --transport http datadef https://datadef.io/mcp \ --header "Authorization: Bearer dd_live_YOUR_KEY"
Cursor / Claude Desktop(via themcp-remotebridge)
{ "mcpServers": { "datadef": { "command": "npx", "args": [ "-y", "mcp-remote", "https://datadef.io/mcp", "--header", "Authorization: Bearer dd_live_YOUR_KEY" ] } } }
{ "servers": { "datadef": { "type": "http", "url": "https://datadef.io/mcp", "headers": { "Authorization": "Bearer ${input:datadef-key}" } } } }
Gemini CLI(~/.gemini/settings.json) — notehttpUrl, noturl; plainurlis legacy SSE there and fails silently:
{ "mcpServers": { "datadef": { "httpUrl": "https://datadef.io/mcp", "headers": { "Authorization": "Bearer $DATADEF_API_KEY" } } } }
One-click install buttons live atdatadef.io/settings/mcp.
Three layers.Outcome-level— describe an intent, Datadef's pipeline carries it out:create_diagram,list_diagrams,get_diagram,edit_diagram,export_diagram,get_design_guide.Repository sync—repo_statusandrepo_refreshinspect and re-run the sync that keeps a diagram and its architecture.md regenerated from a connected GitHub/GitLab/Azure DevOps branch or tag. Terraform repositories get a dedicated pipeline: every.tffile parsed (no init, no state, no cloud credentials), modules drawn as zones, per-environment counts kept honest.Atomic— 25canvas_*tools your model drives directly (add/update/remove nodes, connect edges, set columns, add lineage, group, align, layout, validate), so the agent that already knows your repo can draw what it finds. Thedatadef_design_guideprompt teaches any model the design standard before it draws.
Anonymousinitializeandtools/listare open — point any MCP inspector at the endpoint to browse the surface before creating a key.
The agent that just changed your dbt project still has the whole change in context. Telling it "update the architecture diagram too" costs one sentence — and an embedded diagram (!arch) updates everywhere the canvas does. Docs stop rotting.
For clients or checkers that want a runnable image, the included Dockerfile bridges stdio to the hosted server:
docker build -t datadef-mcp . docker run -i -e DATADEF_API_KEY=dd_live_YOUR_KEY datadef-mcp
- Try without an account:datadef.io/scratch
- MCP guide:datadef.io/guides/en/mcp-diagram-server
- Issues and feedback: right here.
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