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

Built by Vinkius GDPR 10 Tools SDK

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

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="webscrapingapi_agent",
    instruction=(
        "You help users interact with WebScrapingAPI "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)
WebScrapingAPI
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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 WebScrapingAPI MCP Server

Connect your WebScrapingAPI account to any AI agent and harness the power of industrial-grade web scraping through natural conversation.

Google ADK natively supports WebScrapingAPI 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

  • Universal Scraping — Retrieve raw HTML from any website using a massive network of datacenter and residential proxies to avoid blocks
  • JavaScript Rendering — Scrape complex SPAs and dynamic pages by using a headless browser to capture the full rendered state
  • SERP Discovery — Retrieve structured search engine results (organic, ads, snippets) from Google, Bing, and Yandex
  • E-commerce Extraction — Scrape product details like price, reviews, and titles from major stores like Amazon and Walmart into structured JSON
  • Anonymity & Bypass — Use residential or mobile proxies for high-anonymity scraping and to bypass even the most aggressive bot detections
  • Auto-Parsing — Automatically extract structured data from news articles or product pages without manual selectors
  • Custom Parameters — Execute scrapes with advanced options like geo-targeting, sessions, and custom headers

The WebScrapingAPI 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 WebScrapingAPI to Google ADK via MCP

Follow these steps to integrate the WebScrapingAPI MCP Server with Google ADK.

01

Install Google ADK

Run pip install google-adk

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Create the agent

Save the code above and integrate into your ADK workflow

04

Explore tools

The agent will discover 10 tools from WebScrapingAPI via MCP

Why Use Google ADK with the WebScrapingAPI MCP Server

Google ADK provides unique advantages when paired with WebScrapingAPI through the Model Context Protocol.

01

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

02

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with WebScrapingAPI

03

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

04

Seamless integration with Google Cloud services means you can combine WebScrapingAPI tools with BigQuery, Vertex AI, and Cloud Functions

WebScrapingAPI + Google ADK Use Cases

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

01

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

02

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

03

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

04

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

WebScrapingAPI MCP Tools for Google ADK (10)

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

01

custom_api_scrape

g. country, session, wait_for). Execute a scrape using advanced custom parameters

02

scrape_and_auto_extract

g. for news or product pages). Scrape with automatic structured data extraction

03

scrape_as_mobile

Scrape as a mobile device using WebScrapingAPI device emulation

04

scrape_ecommerce_product

Returns price, title, and reviews as structured JSON. Scrape product details from Amazon, Walmart, or other supported stores

05

scrape_js_rendered

Slower but captures the full rendered state. Scrape JS-rendered HTML using WebScrapingAPI headless browser

06

scrape_static_html

Pass the full target URL. Scrape raw HTML from any URL using WebScrapingAPI datacenter proxies

07

scrape_via_residential_proxy

Scrape using residential proxies for high anonymity and bypass

08

search_bing_serp

Retrieve structured search engine results from Bing

09

search_google_serp

Provide a query string. Retrieve structured search engine results from Google

10

search_yandex_serp

Retrieve structured search engine results from Yandex

Example Prompts for WebScrapingAPI in Google ADK

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

01

"Scrape the rendered HTML of 'https://example.com/dynamic-dashboard'."

02

"Search Google for 'best wireless noise cancelling headphones' and return structured results."

03

"Get the price and rating for the product at 'https://amazon.com/dp/B09XXX'."

Troubleshooting WebScrapingAPI MCP Server with Google ADK

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

01

McpToolset not found

Update: pip install --upgrade google-adk

WebScrapingAPI + Google ADK FAQ

Common questions about integrating WebScrapingAPI MCP Server with Google ADK.

01

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.
02

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.
03

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.

Connect WebScrapingAPI to Google ADK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.