Can my AI agent manually index new pages?

Yes. If you provide the AddSearch Secret Key, your agent can use the `index_document` tool. You can supply a URL and a JSON payload containing the title and body, and the agent will push it directly into your live search index without waiting for the web scraper.

What kind of search analytics can I retrieve?

Using the Secret Key, your agent can call two analytics endpoints: `stats_queries` (to see what users searched for, including top searches and zero-result queries) and `stats_clicks` (to see the click-through rates and popular URLs users navigated to from the search bar).

Do I need the Secret Key if I just want to test search queries?

No, if your goal is solely to run searches, paginate results, or check auto-suggestions, the public 'Site Key' is completely sufficient. The Secret Key is only required to list all documents, modify the index, and fetch analytics.

AddSearch MCP Server for Google ADK 10 tools — connect in under 2 minutes

Name: AddSearch
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add AddSearch as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

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="addsearch_agent",
    instruction=(
        "You help users interact with AddSearch "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

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* 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 AddSearch MCP Server

Connect your AddSearch account to your AI agent and turn your site's search index into an interactive, manageable database. Perfect for content teams and developers who need to audit site search performance without opening dashboards.

Google ADK natively supports AddSearch as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 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

Deep Search — Query your indexed content using natural language, apply custom field filters (e.g. "category=shoes"), or sort by custom variables
Document Management — List all indexed pages, import new content directly via JSON, or permanently delete outdated documents from the index
Search Analytics — Retrieve live statistics on user queries, identifying top searches, zero-result queries, and click-through rates
Frontend Emulation — Test your auto-suggestions and pagination just like a real user interacting with your search bar

The AddSearch MCP Server exposes 10 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 AddSearch to Google ADK via MCP

Follow these steps to integrate the AddSearch 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 10 tools from AddSearch via MCP

Why Use Google ADK with the AddSearch MCP Server

Google ADK provides unique advantages when paired with AddSearch 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 AddSearch

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 AddSearch tools with BigQuery, Vertex AI, and Cloud Functions

AddSearch + Google ADK Use Cases

Practical scenarios where Google ADK combined with the AddSearch MCP Server delivers measurable value.

Enterprise data agents: ADK agents query AddSearch and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine AddSearch tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query AddSearch regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including AddSearch

AddSearch MCP Tools for Google ADK (10)

These 10 tools become available when you connect AddSearch to Google ADK via MCP:

autosuggest

Get autocomplete suggestions

delete_document

Requires Secret Key. Permanently delete a document

index_document

Requires Secret Key. Add or update an indexed document

list_documents

Requires Secret Key. List all indexed documents

search_filtered

g., "category=shoes", "brand=nike"). Search indexed content by custom field

search_keyword

Search indexed content by keyword

search_pagination

Retrieve a specific page of search results

search_sorted

Search indexed content with custom sort

stats_clicks

Requires Secret Key. Retrieve click-through analytics

stats_queries

Requires Secret Key. Retrieve search query analytics

Example Prompts for AddSearch in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with AddSearch immediately.

"Show me the top search queries that resulted in 0 hits."

"Search my site for "pricing updates" filtered by category=news."

"Test the auto-suggest for the prefix "shoe"."

Troubleshooting AddSearch MCP Server with Google ADK

Common issues when connecting AddSearch to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

AddSearch + Google ADK FAQ

Common questions about integrating AddSearch MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.