# mcp

> mcp — veedcrawl-mcp. Use this tool when you need to extract valuable insights from videos, such as transcripts and metadata, to power AI-driven applications. The mcp server provides a robust interface for AI agents to access and process video intelligence, solving use cases like video analysis and content enrichment. It accepts video inputs and outputs transcripts, metadata, and extracted insights, making it ideal for applications requiring advanced video understanding.

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

## Description

Official VeedCrawl MCP server for transcripts, metadata, and AI-powered video extraction. Powerful Video intelligence for AI agents.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** browser-automation
- **Updated:** 2026-09-21

## Source

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

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