# pyRevit Foundry MCP

> Use this tool when you need to streamline development and maintenance of pyRevit extensions, as it solves problems related to code quality and consistency through static analysis, scanning, and automation. It takes in pyRevit extension code and outputs optimized and audited extensions, including automated bundle.yaml generation. Ideal for use during the development phase of pyRevit extensions, allowing for efficient and reliable creation of high-quality extensions without requiring Revit runtime.

Canonical page: https://skillsregistry.net/skills/onepoweruser88-pyrevitfoundrymcp  
JSON: https://api.skillsregistry.net/v1/skills/onepoweruser88-pyrevitfoundrymcp

## Description

MCP server for developing and maintaining pyRevit extensions with static analysis, including scanning layout, import auditing, duplicate detection, and automated bundle.yaml generation, without requiring Revit runtime.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/h7ajtw0vqf)
- **Repository:** <https://github.com/OnePowerUser88/pyRevitFoundryMCP>

## 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": "onepoweruser88-pyrevitfoundrymcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/onepoweruser88-pyrevitfoundrymcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/onepoweruser88-pyrevitfoundrymcp/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