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

Q: How does Yitu Technology / 依图科技 integrate with VS Code Copilot?

The MCP configuration gets committed to the repository via .vscode/mcp.json. This means every developer pulling the code instantly has access to all the tools.

Q: Is using Yitu Technology / 依图科技 reliable across the engineering team with VS Code Copilot?

Yes. Because the setup uses a repo-level .vscode/mcp.json, all developers are guaranteed to have the exact same, working toolset.

Q: Does Yitu Technology / 依图科技 support enterprise environments with VS Code Copilot?

It does. The ability to manage tools via a shared .vscode/mcp.json file makes it ideal for SOC 2 compliant, organization-wide rollouts.

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Connect Yitu Technology / 依图科技 MCP to VS Code Copilot

Create your Vinkius account to connect Yitu Technology / 依图科技 to VS Code Copilot 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 VS Code Copilot

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MCP Server facial verification for teams

The entire engineering team can use this MCP Server to verify identities. Developers write code that calls `compare_faces` or runs a search using `search_face_in_repo`, and Copilot injects the live confidence scores right into the file. This means every developer on the team gets consistent access to high-quality facial recognition tools, configured via `.vscode/mcp.json`.

Securing code with liveness detection

When building authentication flows, you need reliable security. The `detect_active_liveness` tool lets your team incorporate real-time anti-spoofing checks into the codebase. For any image input that might be spoofed (like a photo), use `detect_silent_liveness`. It helps prevent fake data from ever making it past the initial check.

Image analysis and document extraction

You can write functions that preprocess images using `moderate_image` before they're saved or passed through a service. The tool returns moderation results you can use for conditional logic. For legal or compliance features, the team can use `ocr_id_card` to extract text from ID cards and then pass those strings into other data processing functions.

Setup guide

Set up Yitu Technology / 依图科技 MCP in VS Code Copilot

Prerequisites

VS Code 1.99 or later with GitHub Copilot extension
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.
2

Add the Yitu Technology / 依图科技 MCP

Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Switch to Agent mode

Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.
4

Verify the connection

In the Copilot Chat input, type # to list available tools. You should see the Yitu Technology / 依图科技 tools listed. Try asking: "List my recent Yitu Technology / 依图科技 transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

{
  "mcpServers": {
    "yitu-technology-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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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 VS Code Copilot

The MCP configuration gets committed to the repository via `.vscode/mcp.json`. This means every developer pulling the code instantly has access to all the tools.

The server touches facial recognition data, image content (for moderation and liveness checks), and extracted text from ID cards. The scope is wide.

Yes. Because the setup uses a repo-level `.vscode/mcp.json`, all developers are guaranteed to have the exact same, working toolset.

It does. The ability to manage tools via a shared `.vscode/mcp.json` file makes it ideal for SOC 2 compliant, organization-wide rollouts.

The server touches facial recognition data. Since the tools are integrated directly into your team's local IDE setup, you control the execution environment.

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