# mcp

> mcp — vidguy-ai-mcp. Use this tool when you need to establish a connection between VidGuy and AI assistants like Gemini CLI and Cursor, to streamline workflows and facilitate seamless interactions. It provides official MCP connection configs, solving integration and compatibility issues. Ideal for use cases involving Git version control and AI-powered automation.

Canonical page: https://skillsregistry.net/skills/vidguy-ai-mcp  
JSON: https://api.skillsregistry.net/v1/skills/vidguy-ai-mcp

## Description

Official VidGuy MCP connection configs for Gemini CLI, Cursor, and other AI assistants

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/vidguy-ai/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": "vidguy-ai-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vidguy-ai-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vidguy-ai-mcp/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