mcp · Global

revit-mcp-server

Natural language AI assistant for Autodesk Revit using MCP (Model Context Protocol)

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Data offered docs-verified: element queries and parameters (Length, Area, Volume, Mark, Comments) · quantity takeoffs · schedule and element export to CSV · sheet and view creation and placement · MEP conduit and electrical panel schedule QA and length totals · wall length totals · element tagging and duplicate detection
Coverage llm-inferred: Global (per catalogue regions); operates on whichever Revit model is open
Formats docs-verified: CSV
Access docs-verified: Open source under the MIT licence. Requires Autodesk Revit 2026, Node.js 18+, and an API key for an LLM provider (OpenRouter, Anthropic, DeepSeek or Qwen), or Ollama for free local use.

Use cases llm-inferred: Quantity takeoff of wall and conduit lengths from a Revit model for early cost checks · Electrical conduit run QA and bend totals before a design issue · Panel schedule extraction and export to CSV for cross-checking against electrical design data · Batch sheet and view production for a drawing issue set
Audience llm-inferred: BIM coordinators · BIM/civils engineers · MEP and electrical engineers · quantity surveyors · Revit technicians

Constraints llm-inferred: Runs only inside Autodesk Revit (Revit 2026 is the documented target); it is an in-app chat, not a standalone MCP service · The chat panel must be open for the server to start · Auto-disconnects after idle periods, so the session must be re-established · Requires an LLM provider API key or a local Ollama install · Windows-only install path is implied by the %APPDATA% plugin location · Tool count mismatch: docs describe 53+ tools, but the catalogue lists 31 names; tool names and argument schemas are not documented and need verifying · Several tools modify the model (e.g. create sheets, rename elements, delete empty tags), so test on a copy of the model · Single-maintainer open-source project with no stated release cadence or support status

Tools/install/auth auto-extracted from README; quality score heuristic (stars, recency, tool count, licence).

Metadata observed 15/10/2026 · research sweep: github-search