Vertex AI Search MCP Server
Search across your enterprise data using Google's semantic search and generative AI grounding.
Ask AI about this MCP Server
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What is the Vertex AI Search MCP Server?
The Vertex AI Search MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Vertex AI Search via 7 tools. Search across your enterprise data using Google's semantic search and generative AI grounding. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (7)
Tools for your AI Agents to operate Vertex AI Search
Ask your AI agent "List all my available data stores in Vertex AI Search." and get the answer without opening a single dashboard. With 7 tools connected to real Vertex AI Search data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.
Build your own MCP Server with our secure development framework →Vinkius works with every AI agent you already use
…and any MCP-compatible client
Vertex AI Search MCP Server capabilities
7 toolsRetrieves configuration and metadata for a specific data store
Returns a natural language response based on your private data. Retrieves an AI-generated answer grounded in the documents of a data store
Provide a data store ID and user event data as a JSON object. Retrieves personalized recommendations based on user events
Lists all data stores in the Vertex AI Search collection
Provide data store and branch IDs. Lists all indexed documents within a specific data store branch
Lists all search engines configured in the collection
Provide a data store ID and the query text. Performs a search query across documents in a specific data store
What the Vertex AI Search MCP Server unlocks
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.
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
How it works
1. Subscribe to this server
2. Enter your Google Cloud Project ID, Location, and Access Token
3. Start querying your enterprise data through Claude, Cursor, or any MCP-compatible client
No more manual digging through complex documentation systems. Your AI agent becomes your enterprise knowledge expert.
Who is this for?
- Enterprise Developers — build grounded AI applications using internal documentation and knowledge bases without manual indexing
- Knowledge Managers — quickly surface relevant information from massive document repositories through simple conversation
- Data Scientists — rapidly test and refine search relevance and generative grounding configurations
- Product Teams — implement personalized recommendations and AI-powered search features with minimal friction
Frequently asked questions about the Vertex AI Search MCP Server
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.
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Connect Vertex AI Search with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
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Give your AI agents the power of Vertex AI Search MCP Server
Production-grade Vertex AI Search MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.