# Contendeo

> Use this tool when you need to analyze video content from any URL, as Contendeo provides multimodal analysis through transcription, vision, and OCR, solving problems related to video data extraction and insight generation. It takes a video URL as input and outputs transcribed text, visual data, and OCR-recognized text. Ideal for use cases requiring in-depth video content understanding, such as media monitoring, research, or content moderation.

Canonical page: https://skillsregistry.net/skills/app-contendeo-contendeo  
JSON: https://api.skillsregistry.net/v1/skills/app-contendeo-contendeo

## Description

Multimodal video analysis MCP — transcription, vision, and OCR for any video URL.

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/app.contendeo%2Fcontendeo)
- **Repository:** <https://github.com/0xKaroshi/contendeo-mcp>

## Use it

MCP endpoint published by the skill: `https://contendeo.app/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": "app-contendeo-contendeo"
    }
  }
}
```

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