Download PDFMarkdown Version
ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Face++ / Megvii with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Leading facial recognition and computer vision platform. detect faces, compare identities, and analyze body gestures via AI.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

Waiting for input…

Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 10 capabilities

The complete Face++ / Megvii capability set.

These are the exact actions your AI can choose when you ask it to work with Face++ / Megvii.

Capability set01 / 03

01-04

4 capabilities in this set.

Part of 10 available through Face++ / Megvii.

  1. 01

    Get faceset detail

    Get details of a FaceSet

  2. 02

    Search face

    Search for a face in a FaceSet

  3. 03

    Create faceset

    Create a new FaceSet

  4. 04

    Detect face

    Detect faces in an image

Capability set02 / 03

05-07

3 capabilities in this set.

Part of 10 available through Face++ / Megvii.

  1. 05

    Skeleton detect

    Detect human skeletons

  2. 06

    Detect body

    Detect human bodies in an image

  3. 07

    Gesture detect

    Detect hand gestures

Capability set03 / 03

08-10

3 capabilities in this set.

Part of 10 available through Face++ / Megvii.

  1. 08

    Remove face from faceset

    Remove faces from a FaceSet

  2. 09

    Add face to faceset

    Add faces to a FaceSet

  3. 10

    Compare faces

    Compare two faces for similarity

Observed, not estimated

910ms average. Fast in production.

Face++ / Megvii is checked daily against the live service.

Daily averagePeak 1180ms
Aug 20Today
Fastest day
782ms
Slowest day
1180ms
14-day trend
Slowing+32%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 10 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Face++ / Megvii, so you can see the experience inside your AI.

It does not authenticate your account with Face++ / Megvii. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Face++ / Megvii Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_9XeNBogqnvbfe37ielQPllFDO6AZEm0YUpuNS984/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Face++ / Megvii capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "face-megvii-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_9XeNBogqnvbfe37ielQPllFDO6AZEm0YUpuNS984/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

FAQ

Questions Face++ / Megvii owners ask.

  • 01

    How do I find my Face++ API Key and Secret?

    Log in to the Face++ Console, go to [Dashboard] -> [API Key], and you will find your unique Key and Secret there. Ensure you have the necessary permissions enabled.

  • 02

    Can I analyze images from a local file?

    This server currently supports analysis via image_url. To use local files, you should upload them to a public or private storage and provide the resulting URL to the capabilities.

  • 03

    What attributes can be returned during face detection?

    Common attributes include gender, age, emotion, head pose, smile, face quality, and skin status. You can specify these in the return_attributes parameter of the detect_face capability.

Explore

More in Image Video

Suggestions