RevitMCP

Enables natural language control of Autodesk Revit through an AI-powered MCP server, allowing creation of walls, rooms, floor plans, and dimensions using conversational commands.

→ AchyErrorJ/RevitMCP · listed on glama

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// key findings

✅

No credential exfiltration, no sensitive file access, no obfuscation

Static analysis found nothing flowing your secrets to unexpected places.

✅

Open source with a license and README

Anyone can audit the code, the license is declared, and the publisher documents what it does.

🔐

You'll be asked for 3 credentials: REVITMCP_AUTH_TOKEN, KREA_API_KEY, HF_TOKEN

These are read from process.env at runtime. Make sure you trust where they’ll be sent.

// required environment variables

This server reads these from process.env. You'll be asked to provide them before it can run.

configREVITMCP_AMD_MODE

configREVITMCP_REVIT_PORT— 48884 Port for the Revit C# add-in HTTP server

configREVITMCP_SERVER_PORT— 8001 Port for the Python FastAPI server

configREVITMCP_LM_STUDIO_PORT— 1234 Port for LM Studio (if using local models)

configREVITMCP_ENHANCER_PORT— 5000 Port for the AI rendering server

configREVITMCP_HOST— localhost Host for all services

configREVITMCP_CORS_ORIGINS— (empty) Additional CORS origins (comma-separated)

🔐 secretREVITMCP_AUTH_TOKEN— (empty) Shared secret for server authentication (recommended)

🔐 secretKREA_API_KEY

🔐 secretHF_TOKEN— "api_key_env": "",

configREVITMCP_LOG_LEVEL

configHF_HOME

configHF_HUB_OFFLINE

// full audit trail

The full breakdown of what we checked, the deductions that landed, the network hosts, the dependency advisories, and concrete fix guidance is available to verified publishers.

// improvement guidance — verified publishers only

We have 6 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.

// embed badge in your README

[![M8ven Score](https://m8ven.ai/badge/mcp/achyerrorj-revitmcp-t3c8e8)](https://m8ven.ai/mcp/achyerrorj-revitmcp-t3c8e8)

commit: 12ac4137bb99cd4530800038cc6cea20f75cde58

code hash: b923983465098601c5f45e687fea3f22bf20e72559c1d59fc463e74e3799d3eb

verified: 6/23/2026, 10:11:24 AM

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