# Reka

> Use this tool when you need to analyze and understand video content, as Reka AI enables searching, questioning, and extracting insights from videos, solving problems like information retrieval and content analysis. It takes video files as input and provides relevant information and answers as output. Ideal for use cases where video data needs to be quickly understood and summarized.

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

## Description

Understand your videos with Reka AI — search, ask questions, and extract insights.

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** scanned
- **Last scanned:** 2026-05-22

## Facts

- **Version:** 0.1.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.reka%2Fmcp)

## Use it

MCP endpoint published by the skill: `https://mcp.reka.ai/mcp`

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": "ai-reka-mcp"
    }
  }
}
```

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