How to Use the Aliyun CAPTCHA / 阿里云验证码 MCP in VS Code Copilot

Q: How do we roll out Aliyun CAPTCHA / 阿里云验证码 tools to our team in VS Code Copilot?

Add the MCP server config to a .vscode/mcp.json file in your project's root and commit it to Git. Everyone who pulls the repo will have the tools available in Copilot Chat automatically.

Q: What's the best way to test the Aliyun CAPTCHA / 阿里云验证码 integration using VS Code Copilot?

In Copilot Chat with Agent mode on, first ask it to createcaptchascene. Once you implement it on your frontend, you can provide a test token back to Copilot and ask it to verifycaptcha to see the live result.

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Connect Aliyun CAPTCHA / 阿里云验证码 MCP to VS Code Copilot

Create your Vinkius account to connect Aliyun CAPTCHA / 阿里云验证码 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 Aliyun CAPTCHA / 阿里云验证码 with VS Code Copilot

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Standardize CAPTCHA Creation

The `create_captcha_scene` tool gives your team a consistent way to generate CAPTCHA instances. Any developer can ask Copilot to create a scene for a new feature, and it will use the team's configured Aliyun account. This avoids one-off scripts or developers using personal keys. The process is uniform and auditable, managed through a single MCP Server endpoint.

Centralize Security Verification

Use the `verify_captcha` tool to give every developer a simple way to test their CAPTCHA implementations. They can ask Copilot to check a token from their local dev environment against the central Aliyun service. This means security logic is tested correctly from the start. It reduces the risk of misconfiguration and ensures everyone on the team is building against the same security standard.

Team-Wide Tools via .vscode/mcp.json

The real power here is team-wide configuration. Add the Aliyun CAPTCHA MCP Server to a `.vscode/mcp.json` file and commit it to your repository. Every developer who pulls the code gets the tools automatically. This is built for engineering organizations. It ensures consistency, simplifies onboarding for new developers, and integrates directly into the editor they already use every day. No extra software to install.

Setup guide

Set up Aliyun CAPTCHA / 阿里云验证码 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 Aliyun CAPTCHA / 阿里云验证码 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 Aliyun CAPTCHA / 阿里云验证码 tools listed. Try asking: "List my recent Aliyun CAPTCHA / 阿里云验证码 transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

{
  "mcpServers": {
    "aliyun-captcha-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 Aliyun CAPTCHA / 阿里云验证码. 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 Aliyun CAPTCHA / 阿里云验证码 MCP in VS Code Copilot

Add the MCP server config to a `.vscode/mcp.json` file in your project's root and commit it to Git. Everyone who pulls the repo will have the tools available in Copilot Chat automatically.

Yes. You can use separate Vinkius MCP Server instances for each environment. Your build process can then swap out the `.vscode/mcp.json` file to point to the correct endpoint for dev, staging, or prod.

In Copilot Chat with Agent mode on, first ask it to `create_captcha_scene`. Once you implement it on your frontend, you can provide a test token back to Copilot and ask it to `verify_captcha` to see the live result.

You'll need VS Code version 1.96 or newer. This integration works with any GitHub Copilot plan that includes Copilot Chat. Just make sure you're in Agent mode.

The server processes only the data needed for its job: the scene name (e.g., 'checkout') and the CAPTCHA verification token. This data is passed through Vinkius's zero-trust, ephemeral environment and is not stored. Your application's user data is never touched.

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