# MCP-Powered Video RAG

> MCP-Powered Video RAG — aymanz12-mcp-powered-video-rag. Use this tool when you need to ask natural language questions about local videos and receive timestamped answers. It solves problems related to video content analysis, search, and retrieval by leveraging Whisper transcription, ChromaDB vector storage, and Groq processing. The tool takes natural language queries as input and outputs relevant timestamped answers from the video content via the MCP interface.

Canonical page: https://skillsregistry.net/skills/aymanz12-mcp-powered-video-rag  
JSON: https://api.skillsregistry.net/v1/skills/aymanz12-mcp-powered-video-rag

## Description

Enables asking natural language questions about local videos, using Whisper transcription, ChromaDB vector storage, and Groq for timestamped answers via MCP.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/u9ixgsykd9)
- **Repository:** <https://github.com/aymanz12/-MCP-Powered-Video-RAG->

## 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": "aymanz12-mcp-powered-video-rag"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aymanz12-mcp-powered-video-rag` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aymanz12-mcp-powered-video-rag/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