How to Use the Face++ / Megvii MCP in Claude Code

Add Face++ / Megvii to Claude Code for headless biometric processing and computer vision in your CI/CD pipelines.

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Connect Face++ / Megvii MCP to Claude Code

Create your Vinkius account to connect Face++ / Megvii to Claude Code 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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Setup Face++ / Megvii with Claude Code

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Headless face analysis with Claude Code

Use `detect_face` and `compare_faces` in your shell scripts to automate identity verification. Claude Code executes these calls without a UI, making it ideal for backend authentication checks. It pipes the output of `search_face` directly into your next command. This allows you to build automated pipelines that verify users against a FaceSet registry during deployment.

Automated body and gesture detection

Claude Code calls `detect_body` and `skeleton_detect` to extract movement data from your assets. It processes these frames in the background, perfect for monitoring or logging tasks. It also supports `gesture_detect` for triggering logic based on hand movements. You can pipe these results into your monitoring tools to track activity in real-time.

Scripted FaceSet management

Automate your registry maintenance by calling `create_faceset` and `add_face_to_faceset` from the terminal. Claude Code handles the state so you don't need to track ID tokens manually. Use `get_faceset_detail` to verify your record counts before running a cron job. If you need to clear old entries, simply trigger `remove_face_from_faceset` via a shell command.

Setup guide

Set up Face++ / Megvii MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see face-megvii-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Face++ / Megvii transactions." It will automatically discover and invoke the available Face++ / Megvii tools.

Terminal

claude mcp add --transport http face-megvii-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Get your connection token →

Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the Face++ / Megvii MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

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

Get your connection token →

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 Claude Code

Run the add command in your terminal with the server URL. Specify the transport type to ensure the headless connection is established correctly.

Yes. Because Claude Code is terminal-only, it works perfectly in scheduled jobs. Just ensure your environment variables for the API key are set in your session.

It is. You can write scripts that use these tools to validate images during your build process and fail the pipeline if verification thresholds aren't met.

Use the list command to see the registered tools. This confirms the server is connected and the API endpoints are ready for your shell scripts.

The server uses a direct transport to the API. No biometric raw data or identity templates are logged or persisted by the MCP connection itself.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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