How does SERPHouse handle the rotation of IP proxies and blocks?

The SERPHouse API backend completely abstracts the proxy-network infrastructure. Your agent simply supplies queries (e.g., `google_search`), and the API intercepts these actions seamlessly, bouncing globally using elite endpoints to avoid Captchas.

Is the location fetching dynamic? How do I target a specific country search?

Yes. Instruct your AI to retrieve overarching ID bounds leveraging the `list_locations` directory by passing a string fragment. The obtained taxonomy parameter guarantees local precision on your following `google_search` attempts.

SERPHouse MCP Server for Google ADK 11 tools — connect in under 2 minutes

Name: SERPHouse
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 11 Tools SDK

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

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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="serphouse_agent",
    instruction=(
        "You help users interact with SERPHouse "
        "using 11 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 SERPHouse MCP Server

Equip your AI assistant with the ultimate crawler module engineered for unbridled search engine access. The SERPHouse MCP integration overcomes the constraints of offline AI knowledge by granting direct, proxy-rotated querying power over Google and Bing endpoints. Seamlessly transform your agent into a high-performance web discovery engine without triggering Captcha blocks.

Google ADK natively supports SERPHouse as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 11 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

The SERPHouse MCP Server exposes 11 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 SERPHouse to Google ADK via MCP

Follow these steps to integrate the SERPHouse 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 11 tools from SERPHouse via MCP

Why Use Google ADK with the SERPHouse MCP Server

Google ADK provides unique advantages when paired with SERPHouse 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 SERPHouse

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 SERPHouse tools with BigQuery, Vertex AI, and Cloud Functions

SERPHouse + Google ADK Use Cases

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

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

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

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

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

SERPHouse MCP Tools for Google ADK (11)

These 11 tools become available when you connect SERPHouse to Google ADK via MCP:

bing_images

Searches for images on Bing

bing_news

Searches for news on Bing

bing_search

Performs a search on Bing

get_account_info

Retrieves SERPHouse account information

google_images

Searches for images on Google

google_news

Searches for news on Google

google_scholar

Searches for scholarly articles on Google Scholar

google_search

Supports advanced parameters like "location" and "lang". Performs a search on Google

google_shopping

Searches for products on Google Shopping

google_videos

Searches for videos on Google

list_locations

Lists supported locations for SERP queries

Example Prompts for SERPHouse in Google ADK

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

"Run a targeted Google Scholar query aimed at finding recent papers on 'quantum consciousness theory' focusing on latest available years."

"Search Bing News locally from a generic 'United Kingdom' location tag to see the latest headlines on economic metrics."

Troubleshooting SERPHouse MCP Server with Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

SERPHouse + Google ADK FAQ

Common questions about integrating SERPHouse 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.