How to Use the Lingyi Wanwu MCP in VS Code Copilot
Connect VS Code Copilot to Lingyi Wanwu to run completions and moderate team code directly from your editor.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Lingyi Wanwu MCP to VS Code Copilot
Create your Vinkius account to connect Lingyi Wanwu 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.
Share Lingyi Wanwu capabilities across your team
The `chat_completions` tool allows your VS Code Copilot agent to query Yi models using shared team configurations. By committing the configuration to your repository, every developer on your team gets access to the same Yi model endpoints via VS Code Copilot. This MCP setup guarantees that everyone using VS Code Copilot writes code against identical Yi LLM behaviors. It removes the friction of onboarding because VS Code Copilot handles the backend communication with the Yi API automatically.
Run automated moderation checks in VS Code Copilot
The `check_moderation` tool screens team pull requests and inline comments for policy violations via VS Code Copilot before they reach Yi models. Your VS Code Copilot agent runs these checks directly within the editor interface to catch compliance bugs early before hitting Yi endpoints. Using this tool helps maintain coding standards across large enterprise repositories using VS Code Copilot. It stops inappropriate or non-compliant text from ever being sent to Yi models by blocking it directly in VS Code Copilot.
Track team token usage and generate embeddings
The `get_usage` tool monitors your team's Yi API consumption directly from the VS Code Copilot chat panel. You can inspect active Yi token counts to keep your development budget under control without leaving your VS Code Copilot workspace. With `get_embeddings` and `list_models` also available, your team can build vector search features and verify Yi model availability inside VS Code Copilot. This ensures your active VS Code Copilot development matches the live capabilities of the Yi platform.
Set up Lingyi Wanwu 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.jsonin your workspace. - 2
Add the Lingyi Wanwu 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 Lingyi Wanwu tools listed. Try asking: "List my recent Lingyi Wanwu transactions" and Copilot will invoke them automatically.
{
"mcpServers": {
"lingyi-wanwu-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 Lingyi Wanwu. 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 Lingyi Wanwu MCP in VS Code Copilot
Use it with your favorite AI tools
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Start using the Lingyi Wanwu MCP today
We host it, we monitor it, we maintain it. You just paste one token.