Download PDFMarkdown Version
ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Vertex AI Search with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Search across your enterprise data using Google's semantic search and generative AI grounding.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

Waiting for input…

Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 7 capabilities

The complete Vertex AI Search capability set.

These are the exact actions your AI can choose when you ask it to work with Vertex AI Search.

Capability set01 / 02

01-04

4 capabilities in this set.

Part of 7 available through Vertex AI Search.

  1. 01

    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

  2. 02

    Search documents

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

  3. 03

    Get datastore details

    Retrieves configuration and metadata for a specific data store

  4. 04

    List data stores

    Lists all data stores in the Vertex AI Search collection

Capability set02 / 02

05-07

3 capabilities in this set.

Part of 7 available through Vertex AI Search.

  1. 05

    List datastore documents

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

  2. 06

    List search engines

    Lists all search engines configured in the collection

  3. 07

    Get recommendations

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

Observed, not estimated

861ms average. Fast in production.

Vertex AI Search is checked daily against the live service.

Daily averagePeak 996ms
Aug 20Today
Fastest day
672ms
Slowest day
996ms
14-day trend
Slowing+12%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 7 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Vertex AI Search, so you can see the experience inside your AI.

It does not authenticate your account with Vertex AI Search. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Vertex AI Search Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_tPSiUT085NrK0Q7wJaTFR09NOdWshRlsftXDjz1N/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Vertex AI Search capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "vertex-ai-search-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_tPSiUT085NrK0Q7wJaTFR09NOdWshRlsftXDjz1N/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

FAQ

Questions Vertex AI Search owners ask.

  • 01

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

    Yes. Using the get_grounded_answer capability, 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.

  • 02

    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.

  • 03

    Can I use this for product recommendations on my website?

    Absolutely. The get_recommendations capability 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.

Explore

More in AI Frontier

Suggestions