Vertex AI Search MCP Server for Google ADK 7 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Vertex AI Search as an MCP tool provider through the Vinkius and your ADK agents can call every tool with full schema introspection.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token — get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="vertex_ai_search_agent",
instruction=(
"You help users interact with Vertex AI Search "
"using 7 available tools."
),
tools=[mcp_tools],
)
* 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.
Google ADK natively supports Vertex AI Search as an MCP tool provider — declare the Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 7 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
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 Google ADK 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 Google ADK via MCP
Follow these steps to integrate the Vertex AI Search MCP Server with Google ADK.
Install Google ADK
Run pip install google-adk
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Create the agent
Save the code above and integrate into your ADK workflow
Explore tools
The agent will discover 7 tools from Vertex AI Search via MCP
Why Use Google ADK with the Vertex AI Search MCP Server
Google ADK provides unique advantages when paired with Vertex AI Search through the Model Context Protocol.
Google ADK natively supports MCP tool servers — declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Vertex AI Search
Production-ready features like session management, evaluation, and deployment come built-in — not bolted on
Seamless integration with Google Cloud services means you can combine Vertex AI Search tools with BigQuery, Vertex AI, and Cloud Functions
Vertex AI Search + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Vertex AI Search MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Vertex AI Search and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Vertex AI Search tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Vertex AI Search regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Vertex AI Search
Vertex AI Search MCP Tools for Google ADK (7)
These 7 tools become available when you connect Vertex AI Search to Google ADK 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 Google ADK
Ready-to-use prompts you can give your Google ADK 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 Google ADK
Common issues when connecting Vertex AI Search to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkVertex AI Search + Google ADK FAQ
Common questions about integrating Vertex AI Search MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
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Connect Vertex AI Search to Google ADK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.