How to Use the Guru MCP in VS Code Copilot

Q: How do we share the Guru MCP server configuration in VS Code Copilot?

Save the server configuration in .vscode/mcp.json and commit it to your Git repository. Every team member with the Copilot extension will get instant access.

Q: Can VS Code Copilot search our Guru knowledge base?

Yes, Copilot uses searchknowledgebase to scan your entire workspace. It returns relevant cards directly inside your chat panel.

Q: How do I verify our Guru connection in VS Code Copilot?

Run the verifyapiconnection tool from the Copilot chat interface. This will return a quick status check of your API credentials.

Share Guru knowledge cards across your entire engineering team inside VS Code Copilot.

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Connect Guru MCP to VS Code Copilot

Create your Vinkius account to connect Guru 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 Guru with VS Code Copilot

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Team-Wide Guru Search in VS Code Copilot

Keep your entire engineering team aligned without messy onboarding docs. Commit a `.vscode/mcp.json` file to your repository so every developer can run `search_knowledge_base` from Copilot Chat. When a developer asks how to deploy a service, Copilot uses `get_card_details` to fetch the exact steps. Nobody has to hunt down links in Slack anymore.

Sync Shared Boards via this MCP Server

Managing team knowledge structures shouldn't require manual web app configuration. Use Copilot to query your organizational layout using `list_knowledge_collections` via this MCP Server directly in your workspace. The agent can retrieve specific board structures with `list_knowledge_boards` to help organize new technical specs. This keeps your repo structure and your wiki in perfect harmony.

Manage Card Lifecycles from Your Editor

Outdated documentation is worse than no documentation. When APIs change, tell Copilot to run `update_knowledge_card` to edit the relevant cards without leaving your code. If an old service is retired, your agent can clean up the workspace by invoking `delete_knowledge_card`. Your team always works with the latest technical truths.

Setup guide

Set up Guru 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 Guru 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 Guru tools listed. Try asking: "List my recent Guru transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

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

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Common questions about Guru MCP in VS Code Copilot

Save the server configuration in `.vscode/mcp.json` and commit it to your Git repository. Every team member with the Copilot extension will get instant access.

Yes, Copilot uses `search_knowledge_base` to scan your entire workspace. It returns relevant cards directly inside your chat panel.

Run the `verify_api_connection` tool from the Copilot chat interface. This will return a quick status check of your API credentials.

Access is governed by the API token you configure. The agent can only see collections returned by `list_knowledge_collections` that are authorized for that token.

Your collection metadata and card contents are fetched directly via secure API calls. The data is only used to answer the active prompt and is never stored or used to train public models.

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