# identifAI MCP Server

> Use this tool when you need to detect and identify AI-generated media, such as deepfake images, videos, and audio, to prevent misinformation and authenticity issues. It solves problems related to media verification, authenticity, and trustworthiness, particularly in applications where fake media can have significant consequences. The tool takes in media files as input and outputs a detection result indicating whether the media is likely AI-generated or authentic.

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

## Description

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

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.2.3
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-04-19

## Source

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

## Use it

MCP endpoint published by the skill: `https://mcp.identifai.net`

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": "net-identifai-mcp"
    }
  }
}
```

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

---
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