Vertex AI Search MCP Server for Mastra AI 7 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Vertex AI Search through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"vertex-ai-search": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Vertex AI Search Agent",
instructions:
"You help users interact with Vertex AI Search " +
"using 7 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Vertex AI Search?"
);
console.log(result.text);
}
main();
* 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.
Mastra's agent abstraction provides a clean separation between LLM logic and Vertex AI Search tool infrastructure. Connect 7 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Vertex AI Search MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 7 tools from Vertex AI Search via MCP
Why Use Mastra AI with the Vertex AI Search MCP Server
Mastra AI provides unique advantages when paired with Vertex AI Search through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Vertex AI Search without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Vertex AI Search tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
Vertex AI Search + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Vertex AI Search MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Vertex AI Search, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Vertex AI Search as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Vertex AI Search on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Vertex AI Search tools alongside other MCP servers
Vertex AI Search MCP Tools for Mastra AI (7)
These 7 tools become available when you connect Vertex AI Search to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Vertex AI Search to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpVertex AI Search + Mastra AI FAQ
Common questions about integrating Vertex AI Search MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Vertex AI Search to Mastra AI
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.