# twelvelabs-indexing

> Use this tool when you need to efficiently index videos using TwelveLabs, enabling tasks such as video analysis and search. It solves problems related to video content management by allowing users to upload local video files and track task status. The tool takes video files as input and outputs indexed video data, making it ideal for applications requiring video metadata extraction and organization.

Canonical page: https://skillsregistry.net/skills/hrishikesh332-tl-indexing-mcp  
JSON: https://api.skillsregistry.net/v1/skills/hrishikesh332-tl-indexing-mcp

## Description

Enables video indexing with TwelveLabs by uploading local video files and tracking task status.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/b7vxrh0iar)
- **Repository:** <https://github.com/Hrishikesh332/TL_Indexing_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": "hrishikesh332-tl-indexing-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hrishikesh332-tl-indexing-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hrishikesh332-tl-indexing-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