How to Use the Verba MCP in Cursor

Q: How do I use Verba's knowledge base context while coding in Cursor?

You let the AI client call performragquery and inject the summarized results directly into your file. This keeps you right where you are without interrupting your flow.

Q: Where do I define Verba's tools in Cursor?

You add the server details to .cursor/mcp.json (project-scope) or /.cursor/mcp.json (global). Then, make sure Agent mode is enabled in your chat.

Q: Can I see a list of all indexed files using Verba in Cursor?

Yes, run listknowledgedocuments. It gives you an immediate inventory, letting you verify that everything you added is available to the AI client.

Use Verba in Cursor to generate live code snippets powered by your knowledge base context.

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Connect Verba MCP to Cursor

Create your Vinkius account to connect Verba to Cursor 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 Cursor

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ChatGPT

Claude

Perplexity

Ground code with `perform_rag_query`

Mid-coding and need a policy reference? Let the AI run `perform_rag_query`. It searches Verba's knowledge base, pulling summarized answers directly into your current file context. The resulting text isn't just fluff; it provides citations, giving you concrete proof points right where you write the code.

Manage data with `add_knowledge_document`

When a new API spec or internal guide drops, use `add_knowledge_document`. The agent ingests the content and metadata JSON into Verba. This makes sure that when you write code later, your AI client has access to the freshest information possible.

Retrieve details with `get_document_details`

Don't waste time searching for a specific configuration value. Call `get_document_details` to pull the full content and metadata of any document from Verba. This live data injection means your generated code works immediately, using real API responses instead of mock stubs.

Setup guide

Set up Verba MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the Verba MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent Verba transactions." If the MCP tools are loaded correctly, Cursor will call the Verba tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Verba. 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 Verba MCP in Cursor

You let the AI client call `perform_rag_query` and inject the summarized results directly into your file. This keeps you right where you are without interrupting your flow.

You add the server details to `.cursor/mcp.json` (project-scope) or `~/.cursor/mcp.json` (global). Then, make sure Agent mode is enabled in your chat.

The server handles structured documents and metadata JSON. This content resides in the Verba knowledge base, which provides the live context for your coding session.

Yes, run `list_knowledge_documents`. It gives you an immediate inventory, letting you verify that everything you added is available to the AI client.

Verba touches structured documents and associated metadata JSON. Since this is project-scoped via `.cursor/mcp.json`, you control the scope of the knowledge base.

Use it with your favorite AI tools

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