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How to Use the Face++ / Megvii MCP in Cursor

Write code using real-time Face++ / Megvii vision tools inside Cursor to build facial matching and body tracking features.

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Connect Face++ / Megvii MCP to Cursor

Create your Vinkius account to connect Face++ / Megvii to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Real-time face matching in your Cursor workspace

Run the `compare_faces` tool to match two facial images directly inside your editor and calculate similarity metrics. Your agent runs this check to verify identities using actual Megvii API responses while you write your authentication logic in Cursor. Having this MCP tool active means Cursor generates code based on real biometric outputs instead of static stubs. You get working code faster because the AI tests the Megvii endpoint live, ensuring your variables match the actual response payload.

Code with live FaceSet management

Execute the `create_faceset` tool to establish a new facial database group directly from your Cursor chat interface. This action builds the remote container on the Megvii platform, ready to store your reference templates. Manage these groups easily when your Cursor agent can call `add_face_to_faceset` and `remove_face_from_faceset` on the fly. You can inspect the structure of your database using `get_faceset_detail` to confirm your Cursor code is targeting the correct schemas.

Implement body tracking with this MCP Server

Track human figures and extract bounding box coordinates directly into your workspace using the `detect_body` tool. Your Cursor agent uses this spatial data to write precise body positioning code without requiring manual image measurements. Let the agent call `skeleton_detect` and `gesture_detect` to map joints and gestures when building advanced Megvii motion features. Cursor displays the resulting Megvii JSON payload, helping you write accurate logic for physical interaction systems.

Setup guide

Set up Face++ / Megvii MCP in Cursor

Prerequisites

  • Cursor installed (macOS, Windows, or Linux)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Open MCP Settings

    Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".

  2. 2

    Add the Face++ / Megvii MCP

    Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.

  3. 3

    Enable Agent mode

    Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.

  4. 4

    Verify the connection

    Ask Cursor something like "List my recent Face++ / Megvii transactions." If the MCP tools are loaded correctly, Cursor will call the Face++ / Megvii tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json
{
  "mcpServers": {
    "face-megvii-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Face++ / Megvii. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Face++ / Megvii MCP in Cursor

Open your Cursor settings, navigate to the MCP section, and add a new server. Enter the command or remote URL provided by Vinkius along with your Megvii API credentials to activate the tools.
Yes, the `search_face` tool allows your agent to look up faces within your FaceSets. This helps you debug search algorithms directly inside your development environment.
The `skeleton_detect` tool returns coordinates for human skeletal joints. Cursor presents this raw coordinate data in the chat panel, allowing you to map physical movements directly into your code.
The `detect_face` tool identifies every face present in your target image. It returns individual coordinates, age estimates, and gender data for each detected person in a single API call.
All face images and FaceSets processed by this MCP Server travel through a secure, ephemeral V8 isolate. No biometric information is cached locally or retained by Vinkius, ensuring your data goes straight to Megvii over TLS.

Start using the Face++ / Megvii MCP today

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