4,000+ servers built on MCP Fusion
Vinkius
Claude CodeCLI
Why use Vertex AI Search MCP Server with Claude Code?

Bring Enterprise Search
to Claude Code

Create your Vinkius account to connect Vertex AI Search to Claude Code and start using all 7 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.

MCP Inspector GDPR Free for Subscribers
Get Datastore DetailsGet Grounded AnswerGet RecommendationsList Data StoresList Datastore DocumentsList Search EnginesSearch Documents
ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Vertex AI Search

What is the 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.

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

Built-in capabilities (7)

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

Why Claude Code?

Claude Code registers Vertex AI Search as an MCP server in a single terminal command. Once connected, Claude Code discovers all 7 tools at runtime and can call them headlessly. ideal for CI/CD pipelines, cron jobs, and automated workflows where Vertex AI Search data drives decisions without human intervention.

  • Single-command setup: claude mcp add registers the server instantly. no config files to edit or applications to restart

  • Terminal-native workflow means MCP tools integrate seamlessly into shell scripts, CI/CD pipelines, and automated DevOps tasks

  • Claude Code runs headlessly, enabling unattended batch processing using Vertex AI Search tools in cron jobs or deployment scripts

  • Built by the same team that created the MCP protocol, ensuring first-class compatibility and the fastest adoption of new protocol features

See it in action

Vertex AI Search in Claude Code

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Enterprise Security

Why run Vertex AI Search with Vinkius?

The Vertex AI Search connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 7 tools are ready to work instantly without any complex setup.

You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.

Vertex AI Search
Fully ManagedNo server setup
Plug & PlayNo coding needed
SecurePrivacy protected
PrivateYour data is safe
Cost ControlBudget limits
Control1-click disconnect
Auto-UpdatesMaintenance free
High SpeedOptimized for AI
Reliable99.9% uptime
Your credentials and connection tokens are fully encrypted

* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure

01 / Catalog

Over 4,000 integrations ready for AI agents

Explore a vast library of pre-built integrations, optimized and ready to deploy.

02 / Credentials

Connect securely in under 30 seconds

Generate tokens to authenticate and link external services in a single step.

03 / Guardian

Complete visibility into every agent action

Audit live requests, latency, success rates, and active security compliance policies.

04 / FinOps

Optimize spending and track token ROI

Analyze real-time token consumption and cost metrics detailed by connection.

Over 4,000 integrations ready for AI agents
Connect securely in under 30 seconds
Complete visibility into every agent action
Optimize spending and track token ROI

Explore our live AI Agents Analytics dashboard to see it all working

This dashboard is included when you connect Vertex AI Search using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.

Why Vinkius

Vertex AI Search and 4,000+ other AI tools. No hosting, no code, ready to use.

Professionals who connect Vertex AI Search to Claude Code through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.

4,000+MCP Integrations
<40msResponse time
100%Fully managed
Raw MCP
Vinkius
Ready-to-use MCPsFind and configure each manually4,000+ MCPs ready to use
Connection SetupManual coding & server setup1-click instant connection
Server HostingYou host it yourself (needs 24/7 uptime)100% hosted & managed by Vinkius
Security & PrivacyStored in plaintext config filesBank-grade encrypted vault
Activity VisibilityBlind execution (no logs or tracking)Live dashboard with real-time logs
Cost ControlRunaway AI token spend riskAutomatic budget limits
Revoking AccessMust delete files or code to stop1-click disconnect button
The Vinkius Advantage

How Vinkius secures Vertex AI Search for Claude Code

Every request between Claude Code and Vertex AI Search is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

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.

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 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.

04

How do I add an MCP server to Claude Code?

Run claude mcp add <name> --transport http "<url>" in your terminal. Claude Code registers the server and discovers all tools immediately.

05

Can Claude Code run MCP tools in headless mode?

Yes. Claude Code supports non-interactive execution, making it ideal for scripts, cron jobs, and CI/CD pipelines that need MCP tool access.

06

How do I list all connected MCP servers?

Run claude mcp in your terminal to see all registered servers and their status, or type /mcp inside an active Claude Code session.

07

Command not found: claude

Ensure Claude Code is installed globally: npm install -g @anthropic-ai/claude-code

08

Connection timeout

Check your internet connection and verify the Edge URL is reachable

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