"Autodesk Revit" matching MCP servers:

Enables AI clients to query, aggregate, and visually inspect a live Autodesk Revit model, reading it without model-changing transactions by default. Model mutations are opt-in and require two explicit gates, with dry-run previews and verification.

Hardened MCP server for Autodesk Revit enabling LLMs to inspect and manipulate Revit models via pyRevit, with token authentication and capability profiles.

Enables AI assistants to execute designer-confirmed code and reusable capability packs inside a running Autodesk Revit instance.

A Python package that enables integration with Autodesk Revit through the Model Context Protocol, allowing users to send commands to Revit and automate interactions with building models.

Enables Large Language Models to access and manipulate Autodesk Revit models through a pyRevit-based bridge and the Model Context Protocol.

Enables AI assistants to interact with Autodesk Revit to query project data, manage elements, and execute generated code via the Model Context Protocol. It provides full compatibility with GitHub Copilot and Claude to automate BIM modeling workflows.

Enables seamless communication between Claude AI and Autodesk Revit, allowing users to access and interact with Revit model information through natural language.

MCP server for Autodesk Revit via pyRevit, providing 45 tools for building design, editing, analysis, MEP, interop, and documentation. Works with any MCP client.

Allows AI assistants to interact with Autodesk Revit through the MCP protocol, enabling the AI to create, modify, and delete elements in Revit projects.

MCP server for Autodesk Revit 2024/2025/2026/2027 via pyRevit — 48 tools for building design, editing, analysis, clash detection, MEP, interop, documentation, and model persistence.

Enables natural-language querying, editing, and drawing production for Autodesk Revit models through an MCP client, via a bundled C# bridge add-in running inside Revit.

Enables autonomous agents to perform CAD geometry calculations and retrieve Autodesk API knowledge via MCP, combining a native C++ geometry engine with RAG grounded on Fusion 360, APS/Forge, Revit, and Inventor.

Enables AI clients to interact with Autodesk Revit for building design, editing, analysis, clash detection, MEP, interop, documentation, and model persistence via 48 tools.

Connects LLM assistants to Autodesk Revit BIM models, enabling reading metadata, listing elements, creating geometry, batch parameter updates, and exporting schedules. Supports fake mode for testing without Revit and pyRevit mode for live integration.

Node.js MCP server enabling AI assistants to interact with Autodesk Revit for model operations, data queries, and sketch-to-building generation via LLM.

AI-powered control of Autodesk Revit through the Model Context Protocol, enabling natural language BIM workflows.

Enables agents to preview, create, and verify shield-tunnel models in Revit 2025, with support for independent segment families and safe batch operations.

An MCP server that exposes an open Autodesk Revit model to MCP clients, enabling natural language inspection and editing of the model via Revit API calls through pyRevit Routes.

Enables AI to interact with Revit via MCP, allowing data retrieval and element creation, modification, and deletion.

Provides access to Autodesk Platform Services API, enabling interaction with ACC projects and issues through natural language.