How to Use the Verba MCP in VS Code Copilot

Q: How do I ensure my team uses Verba knowledge in VS Code Copilot?

You commit the .vscode/mcp.json file containing the server definition to your repository. This automatically makes the tools available to every developer on the team.

Q: What happens if I delete a document using Verba in VS Code Copilot?

You use deleteknowledgedocument. Remember, this action is permanent and removes the file from the knowledge base entirely. Use it carefully.

Q: How can we retrieve details about documents using Verba with VS Code Copilot?

Just call getdocumentdetails in your chat prompt. It pulls the full content and metadata for a specific document, letting you verify its structure instantly.

Let your whole team use Verba with VS Code Copilot for shared, centralized knowledge access.

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Connect Verba MCP to VS Code Copilot

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

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Central search via `perform_rag_query`

Every developer gets the same answers. By committing `.vscode/mcp.json`, your entire team can use Copilot to run `perform_rag_query`. It searches Verba's knowledge base and provides cited, summarized results. The whole team accesses a consistent source of truth, making sure everyone is working off the latest company policies.

Shared data ingestion with `add_knowledge_document`

When Product writes documentation, commit the changes to `.vscode/mcp.json`. The MCP Server ingests this new document content and metadata JSON into Verba. This ensures that every developer on the team has instant access to the updated knowledge base.

System audit with `get_system_config`

Need to check if the MCP Server is configured correctly across the organization? Use Copilot Chat and run `get_system_config`. It pulls the current operational setup from Verba. This single tool lets you verify system settings without needing specialized access.

Setup guide

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

.vscode/mcp.json

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

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Common questions about Verba MCP in VS Code Copilot

You commit the `.vscode/mcp.json` file containing the server definition to your repository. This automatically makes the tools available to every developer on the team.

You use `delete_knowledge_document`. Remember, this action is permanent and removes the file from the knowledge base entirely. Use it carefully.

Just call `get_document_details` in your chat prompt. It pulls the full content and metadata for a specific document, letting you verify its structure instantly.

The server manages structured documents and associated metadata JSON. These are all part of the central Verba knowledge base, accessible by your team's agent.

The server touches structured documents and associated metadata JSON. Because this is controlled by the committed `.vscode/mcp.json`, you maintain clear control over the knowledge base scope.

Use it with your favorite AI tools

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