How to Use the Yitu Technology / 依图科技 MCP in Claude Code

Q: How can I use Yitu Technology / 依图科技 for ID card processing in Claude Code?

You run ocridcard from your script. The output is clean, extractable text that you can then pass to other CLI tools or services.

Q: Does Yitu Technology / 依图科技 support repository management in Claude Code?

It does. You can automate repo setup by calling createfacerepo and manage the contents using addfacetorepo or cleaning up with deletefacerepo.

Run headless computer vision workflows with Claude Code in CI/CD pipelines.

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Connect Yitu Technology / 依图科技 MCP to Claude Code

Create your Vinkius account to connect Yitu Technology / 依图科技 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 Yitu Technology / 依图科技 with Claude Code

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Batch Identity Verification via MCP Server

Use `list_repos` to pull a list of all available facial repositories for batch processing. You can then iterate through them, running `search_face_in_repo` to validate thousands of identities overnight. The MCP Server supports secure, headless execution, making it perfect for cron jobs that need regular identity checks.

Automated Content & Security Checks

Integrate content moderation directly into your pipeline using `moderate_image`. You can pipe images through this tool to block unauthorized or inappropriate content before deployment. For security testing, run `detect_active_liveness` or `detect_silent_liveness` against uploaded media files as part of a required build step.

Data Processing and OCR Tasks

When processing user-uploaded documents, pipe the image through `ocr_id_card` to automatically extract necessary identification text. You can also use `detect_face` on every input image to ensure faces are present before proceeding with other steps. This makes your CI/CD process far more reliable.

Setup guide

Set up Yitu Technology / 依图科技 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 yitu-technology-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Yitu Technology / 依图科技 transactions." It will automatically discover and invoke the available Yitu Technology / 依图科技 tools.

Terminal

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

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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 Yitu Technology / 依图科技 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": {
    "yitu-technology-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 Yitu Technology / 依图科技. 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 Yitu Technology / 依图科技 MCP in Claude Code

You connect the MCP Server via a command line. Your script can then call tools like `compare_faces` to validate identities as part of your pipeline's main execution flow.

Yes. The server exposes both active and silent liveness tools (`detect_active_liveness` and `detect_silent_liveness`). These are ideal for automated security gates in a build process.

This server processes image, facial recognition, and text extraction data. It specifically reads and writes to the structured data of facial repositories.

You run `ocr_id_card` from your script. The output is clean, extractable text that you can then pass to other CLI tools or services.

It does. You can automate repo setup by calling `create_face_repo` and manage the contents using `add_face_to_repo` or cleaning up with `delete_face_repo`.

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