# Revit

> Use this tool when you need to automate interactions with Autodesk Revit models, such as creating, updating, or deleting elements like walls and floors, to streamline BIM automation workflows and architectural design tasks. It provides a programmatic interface to Revit through TCP socket connections and JSON-RPC requests, enabling direct manipulation of model data. Ideal for construction documentation and design assistance use cases that require robust and error-managed interactions with Revit models.

Canonical page: https://skillsregistry.net/skills/zedmoster-revit  
JSON: https://api.skillsregistry.net/v1/skills/zedmoster-revit

## Description

Revit-MCP provides a bridge between Autodesk Revit and AI tools through the Model Context Protocol, enabling programmatic interaction with Revit models. Developed by zedmoster, this server implementation facilitates operations like finding, creating, updating, and deleting Revit elements including walls, floors, levels, grids, and family instances. The server establishes a TCP socket connection to Revit, translates commands into JSON-RPC requests, and handles responses with robust error management. Ideal for BIM automation workflows, architectural design assistance, and construction documentation tasks that require direct manipulation of Revit model data.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/zedmoster-revit)
- **Repository:** <https://github.com/zedmoster/revit-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "zedmoster-revit"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zedmoster-revit` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zedmoster-revit/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt