Can I get direct answers from my documents without reading through them?

Yes. Using the `get_grounded_answer` tool, your AI agent can process a natural language question and return a precise answer based specifically on the content within your Vertex AI Search data stores. This grounding ensures high accuracy and reduces hallucinations by sticking to your private data as the source of truth.

How do I know which data stores are available to search?

Ask your agent to list your data stores. It will return all configured data stores in your collection along with their IDs and names. You can then use these IDs to perform targeted semantic searches or browse specific document branches.

Can I use this for product recommendations on my website?

Absolutely. The `get_recommendations` tool allows your agent to retrieve personalized recommendations by providing user event data. This is ideal for testing recommendation engines and surfacing relevant content or products to users based on their historical behavior.

Vertex AI Search MCP Server for Cursor 7 tools — connect in under 2 minutes

Name: Vertex AI Search
Availability: InStock
Author: Vinkius

docs.cursor.com/context/model-context-protocol

Built by Vinkius GDPR 7 Tools IDE

Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install Vertex AI Search and 2,500+ MCP Servers from a single visual interface.

Download Free Open SourceNo signup required

Classic Setup·json

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

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

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Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Vertex AI Search MCP Server

Connect your Vertex AI Search account to any AI agent and harness the power of Google's semantic search technology on your own enterprise data through natural conversation.

Cursor's Agent mode turns Vertex AI Search into an in-editor superpower. Ask Cursor to generate code using live data from Vertex AI Search and it fetches, processes, and writes — all in a single agentic loop. 7 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.

What you can do

Semantic Search — Perform high-quality semantic searches across documents with AI-powered relevance and accuracy
Grounded Answers — Get direct, natural language answers grounded in your private document collection for reliable Q&A
Data Stores — List and browse your enterprise data stores and search engines to manage your searchable datasets
Document Discovery — Browse and list indexed documents within your data store branches directly from your agent
Personalized Recommendations — Retrieve intelligent recommendations based on user interaction events and patterns
Search Engines — View and manage high-level search applications configured for specific business use cases

The Vertex AI Search MCP Server exposes 7 tools through the Vinkius. Connect it to Cursor in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Vertex AI Search to Cursor via MCP

Follow these steps to integrate the Vertex AI Search MCP Server with Cursor.

Open MCP Settings

Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"

Add the server config

Paste the JSON configuration above into the mcp.json file that opens

Save the file

Cursor will automatically detect the new MCP server

Start using Vertex AI Search

Open Agent mode in chat and ask: "Using Vertex AI Search, help me..." — 7 tools available

Why Use Cursor with the Vertex AI Search MCP Server

Cursor AI Code Editor provides unique advantages when paired with Vertex AI Search through the Model Context Protocol.

Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context

Cursor's Composer feature can generate entire files using real-time data fetched through MCP — no copy-pasting from external dashboards

MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment

VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools

Vertex AI Search + Cursor Use Cases

Practical scenarios where Cursor combined with the Vertex AI Search MCP Server delivers measurable value.

Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP

Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically

Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates

Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data

Vertex AI Search MCP Tools for Cursor (7)

These 7 tools become available when you connect Vertex AI Search to Cursor via MCP:

get_datastore_details

Retrieves configuration and metadata for a specific data store

get_grounded_answer

Returns a natural language response based on your private data. Retrieves an AI-generated answer grounded in the documents of a data store

get_recommendations

Provide a data store ID and user event data as a JSON object. Retrieves personalized recommendations based on user events

list_data_stores

Lists all data stores in the Vertex AI Search collection

list_datastore_documents

Provide data store and branch IDs. Lists all indexed documents within a specific data store branch

list_search_engines

Lists all search engines configured in the collection

search_documents

Provide a data store ID and the query text. Performs a search query across documents in a specific data store

Example Prompts for Vertex AI Search in Cursor

Ready-to-use prompts you can give your Cursor agent to start working with Vertex AI Search immediately.

"List all my available data stores in Vertex AI Search."

"Based on our documentation, what is our remote work policy?"

"Search the product catalog for 'blue wireless headphones'."

Troubleshooting Vertex AI Search MCP Server with Cursor

Common issues when connecting Vertex AI Search to Cursor through the Vinkius, and how to resolve them.

Tools not appearing in Cursor

Ensure you are in Agent mode (not Ask mode). MCP tools only work in Agent mode.

Server shows as disconnected

Check Settings → Features → MCP and verify the server status. Try clicking the refresh button.

Vertex AI Search + Cursor FAQ

Common questions about integrating Vertex AI Search MCP Server with Cursor.

What is Agent mode and why does it matter for MCP?

Agent mode is Cursor's autonomous execution mode where the AI can perform multi-step tasks: reading files, editing code, running terminal commands, and calling MCP tools. Without Agent mode, Cursor operates in a simpler ask-and-answer mode that doesn't support tool calling. Always ensure you're in Agent mode when working with MCP servers.

Where does Cursor store MCP configuration?

Cursor looks for MCP server configurations in a mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.

Can Cursor use MCP tools in inline edits?

No. MCP tools are only available in Agent mode through the chat panel. Inline completions and Tab suggestions do not trigger MCP tool calls. This is by design — tool calls require user visibility and approval.

How do I verify MCP tools are loaded?

Open Settings → Features → MCP and look for your server name. A green indicator means the server is connected. You can also check Agent mode's available tools by clicking the tools dropdown in the chat panel.