How to Use the Vertex AI Search MCP in Cursor

Q: How does Vertex AI Search work with Cursor's coding context?

Your agent calls tools like searchdocuments, and the live API response—not mock data—is injected directly into your code editor. This lets you write functions that actually use real search results.

Q: Can I check my data store setup using Vertex AI Search in Cursor?

Yeah, run getdatastoredetails to see the exact configuration and metadata for any given store. It’s a quick way to verify if your project scope has everything it needs.

Inject live enterprise context into code with Cursor. Your AI client works directly in the editor.

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Connect Vertex AI Search MCP to Cursor

Create your Vinkius account to connect Vertex AI Search 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 Vertex AI Search with Cursor

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Search across data using Vertex AI Search and MCP Server.

`search_documents` lets your agent run a query against a specific data store ID. This means you can embed live search results directly into the code block you're writing. Stop stubbing out API calls with mock data. You get real, grounded context right where your cursor is.

Get answers based on private docs in Cursor.

`get_grounded_answer` pulls natural language responses from internal documents. The AI client uses this response to fill variables or write comments that reference real knowledge. It makes your generated code smarter because it knows the company's specific terminology and facts.

Inspect data sources with MCP Server.

Want to see what indexes are available? Running `list_search_engines` gives you a list of all configured search engines. You can then use this output in your code logic, making sure your program targets the correct endpoint. This is essential for building reliable integration points.

Setup guide

Set up Vertex AI Search 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 Vertex AI Search 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 Vertex AI Search transactions." If the MCP tools are loaded correctly, Cursor will call the Vertex AI Search tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "vertex-ai-search-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 Vertex AI Search. 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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Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

Live

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

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lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

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place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Vertex AI Search MCP in Cursor

Your agent calls tools like `search_documents`, and the live API response—not mock data—is injected directly into your code editor. This lets you write functions that actually use real search results.

Yeah, run `get_datastore_details` to see the exact configuration and metadata for any given store. It’s a quick way to verify if your project scope has everything it needs.

It handles searching across documents, pulling grounded answers from private knowledge bases. The MCP Server makes that context available right when you're coding.

No, the configuration is managed through the project scope or globally using `.cursor/mcp.json`. The agent handles calling the remote MCP Server endpoint.

This server interacts with indexed document content and user event data, allowing your code to process sensitive enterprise records.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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