An astronaut overseeing a futuristic data hub

Connect Face++ / Megvii to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Turn your AI agent into a real-time computer vision expert.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 10 capabilities

We ship only the actions that matter.

Capability set01 / 03

01-04

4 capabilities in this set.

Part of 10 available through Face++ / Megvii.

  1. 01

    Create faceset

    Sets up a new FaceSet to store and organize facial data.

  2. 02

    Detect body

    Finds human bodies within an image.

  3. 03

    Detect face

    Locates faces within a provided image.

  4. 04

    Gesture detect

    Recognizes specific hand gestures from image data.

Capability set02 / 03

05-07

3 capabilities in this set.

Part of 10 available through Face++ / Megvii.

  1. 05

    Get faceset detail

    Retrieves specific information about a FaceSet you have created.

  2. 06

    Remove face from faceset

    Deletes specific faces from an existing FaceSet.

  3. 07

    Search face

    Finds a specific face within a designated FaceSet.

Capability set03 / 03

08-10

3 capabilities in this set.

Part of 10 available through Face++ / Megvii.

  1. 08

    Skeleton detect

    Identifies human skeleton keypoints to track posture.

  2. 09

    Add face to faceset

    Adds a new face to a FaceSet for future searching.

  3. 10

    Compare faces

    Checks how similar two faces are to determine if they belong to the same person.

Real work

What teams actually run

01

Automated KYC

Run identity verification checks by asking your agent to compare user photos against stored records.

02

User Behavior Analysis

Analyze how users interact with products by detecting their gestures and emotions.

03

Large Scale Face Matching

Manage and search through massive FaceSets using natural language queries.

04

Posture Monitoring

Use skeleton detection to track human movement and body positions in images.

Automate a task

Put Face++ / Megvii to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Face++ / Megvii works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

Building your own app? The connector is yours to use.

You don't need a client to put Face++ / Megvii to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

950ms average. Fast in production.

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

Daily averagePeak 1144ms
Oct 3Today
Fastest day
740ms
Slowest day
1144ms
14-day trend
Slowing+22%

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

Guided setup for Claude? Set up Face++ / Megvii in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Face++ / Megvii owners hand off.

This MCP is for professionals who need to automate visual intelligence within their AI workflows.

  • 01

    Security and Compliance Officers

    They hand off identity verification and KYC audit tasks to the agent.

  • 02

    UX Researchers

    They use the agent to analyze user emotions and gestures during testing.

  • 03

    Developers

    They integrate vision APIs into their daily AI-driven routines.

FAQ

Questions Face++ / Megvii owners ask.

  • 01

    How do I use Face++ with my AI agent?

    You connect this MCP to your client, such as Claude or Cursor, and then you can simply ask your agent to perform vision tasks like detecting faces or comparing images.

  • 02

    What kind of vision data can this MCP process?

    The MCP handles facial recognition, identity verification, human body detection, skeleton tracking, and hand gesture recognition.

  • 03

    Do I need to use the Face++ web console?

    No. This MCP allows your agent to perform all the necessary operations, so you don't have to navigate the web interface manually.

  • 04

    Can I manage facial databases through my agent?

    Yes. You can use capabilities to create, add to, or remove faces from FaceSets directly through your AI client.

  • 05

    Which AI clients are compatible?

    This MCP works with any compatible client, including Claude, Cursor, Windsurf, and VS Code.

  • 06

    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.

  • 07

    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.

  • 08

    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.

Connect Face++ / Megvii to Claude, Cursor, ChatGPT & more