# Video RAG MCP Server

> Use this tool when you need to enable natural language search and interaction with video content, solving problems such as efficient video discovery and retrieval. It takes video files and queries as inputs and outputs relevant video segments and chunks, allowing for seamless integration into various applications. Ideal for use cases where video content needs to be easily searchable and accessible, such as media archives, educational platforms, or video analytics systems.

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

## Description

Enables natural language search and interaction with video content through three tools: ingesting videos to a Ragie index, retrieving relevant video segments based on queries, and creating video chunks from specific timestamps.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-04-22

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/nfdixzjg5z)
- **Repository:** <https://github.com/FiloHany/Video_RAG_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": "filohany-video-rag-mcp"
    }
  }
}
```

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

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