# Proofly (Deepfake Detection)

> Use this tool when you need to detect deepfakes in images and verify their authenticity. It solves problems of image manipulation and deception by analyzing images via base64 or URL and providing detailed face information and real/fake probability scores. The Proofly API integration enables AI assistants to process images and return analysis results, making it ideal for use cases where image verification is crucial, such as fact-checking and forensic analysis.

Canonical page: https://skillsregistry.net/skills/proofly-deepfake-detection  
JSON: https://api.skillsregistry.net/v1/skills/proofly-deepfake-detection

## Description

The Proofly MCP server enables AI assistants to detect deepfakes in images through integration with the Proofly API. Developed by Proofly AI, this Node.js implementation provides tools for analyzing images (via base64 or URL), checking analysis session status, and retrieving detailed face information. The server communicates via stdio using the Model Context Protocol SDK, processes images through the Proofly API (api.proofly.ai), and returns detailed analysis results including real/fake probability scores and individual model results for each detected face. It's designed to work with MCP-compatible clients like Claude Desktop, Cursor, and Cascade/Windsurf, making it valuable for users who need to verify image authenticity without leaving their conversation context.

## 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:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/proofly-deepfake-detection)
- **Repository:** <https://github.com/prooflie/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": "proofly-deepfake-detection"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/proofly-deepfake-detection` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/proofly-deepfake-detection/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