How to Use the Import.io (Web Data Extraction) MCP in Google ADK

Q: Can Gemini process raw CSV data from Import.io (Web Data Extraction) in Google ADK?

Yes, your agent can call downloadcsv to retrieve structured text. Gemini's large context window easily handles these spreadsheet payloads.

Q: How does the Google ADK agent handle large-scale crawls?

The agent triggers startcrawl and polls getcrawlstatus to monitor progress. Once finished, it retrieves the dataset using getcrawldata.

Feed clean web data directly into your Google ADK pipelines and BigQuery tables using Gemini long-context agents.

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Connect Import.io (Web Data Extraction) MCP to Google ADK

Create your Vinkius account to connect Import.io (Web Data Extraction) to Google ADK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Import.io (Web Data Extraction) with Google ADK

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Automated Magic API Extraction for Gemini Agents

Gemini agents run `run_magic_api` to extract structured data from unstructured web pages without any pre-configured schemas. This tool lets your agent explore new target domains on the fly. Because Google ADK supports massive context windows, your agent can ingest the raw output directly. The agent uses this real-time data to build context before running complex reasoning steps.

Managed Crawling with Google ADK Enterprise Tools

The MCP Server uses `start_crawl` to execute parallel extraction jobs across thousands of URLs simultaneously. Offloading proxy management and browser rendering to the cloud is handled automatically. Your Gemini agent tracks progress using `get_crawl_status` and retrieves the final dataset with `get_crawl_data`. From there, the agent can write the clean JSON payload straight into BigQuery.

Dynamic Extractor Management

Your agent queries `list_extractors` on the MCP Server to locate pre-built extraction schemas configured on your account. This tool returns active extractor IDs so the agent can choose the right one dynamically. After selecting an ID, the agent calls `run_extractor` to start the job. It monitors the run via `get_extractor_status` and pulls down the final data using `get_extractor_data`.

Setup guide

Set up Import.io (Web Data Extraction) MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Import.io (Web Data Extraction) tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Import.io (Web Data Extraction)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Import.io (Web Data Extraction) tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Import.io. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Import.io (Web Data Extraction) MCP in Google ADK

You instantiate the toolset with the HTTP server URL and pass it to your agent. This exposes tools to Gemini via the MCP Server.

Yes, your agent can call `download_csv` to retrieve structured text. Gemini's large context window easily handles these spreadsheet payloads.

The agent triggers `start_crawl` and polls `get_crawl_status` to monitor progress. Once finished, it retrieves the dataset using `get_crawl_data`.

Yes, Google ADK allows you to pass a filtered list of tool names to restrict access. This lets you restrict access to sensitive tools like `account_usage`.

This MCP Server routes all traffic through secure HTTP tunnels directly to the Vinkius sandbox. Your target URLs and scraped CSV data are never persisted or cached on the platform.

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