# identifai-mcp

> Use this tool when you need to detect manipulated media, such as AI-generated images, videos, and audio, to identify potential deepfakes and authenticate digital content. It solves problems related to media verification, trust, and security, providing outputs that indicate the likelihood of AI-generated content. Input digital media files to receive analysis results, ideal for use cases in fact-checking, cybersecurity, and digital forensics.

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

## Description

Detect AI-generated images, videos, and audio with identifAI's deepfake detection tools.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-05-11

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/root/identifai-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": "root-identifai-mcp"
    }
  }
}
```

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