How to Use the Microlink MCP in Google ADK

Q: How do I initialize the Microlink MCP Server in Google ADK?

Install the library and use McpToolset to load the MCP tools. Pass this toolset into your LlmAgent constructor to expose tools like extractmetadata to your Gemini model.

Q: Does this setup support custom browser configurations?

Yes, you can pass custom parameters through advancedquery to emulate specific devices or set custom viewports. The backend handles the rendering, so your agent gets the exact output you specified.

Feed clean web metadata, PDFs, and screenshots directly into your Google ADK Gemini agents using enterprise-grade MCP tools.

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Connect Microlink MCP to Google ADK

Create your Vinkius account to connect Microlink 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 Microlink with Google ADK

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Feed live web data directly into BigQuery with Google ADK

Extracting structured JSON from any URL is handled by `extract_metadata` within your Google ADK setup, sending clean data straight to BigQuery. This setup avoids the need for maintaining fragile custom scraping microservices. Your agents handle the extraction, format the output, and pipe the clean metadata into your existing Google Cloud analytics tools with minimal latency.

Audit site performance using Google ADK and MCP

Running deep technical audits with `get_insights` allows your Google ADK agents to analyze any website's tech stack and performance metrics. This integration is built for heavy enterprise workloads. Your Google ADK agents can run deep diagnostics across thousands of target URLs, analyzing performance regressions without crashing your local application memory.

Capture screenshots and PDFs directly from your agent

Capturing visual proof of web content is simple when your agent calls `take_screenshot` or `generate_pdf` to document target websites. You can customize the viewport size, device emulation, and print margins through the `advanced_query` parameters. This gives your Gemini agents full control over how they document web pages during automated compliance checks.

Setup guide

Set up Microlink 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 Microlink 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="Microlink_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Microlink tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Microlink MCP in Google ADK

Install the library and use `McpToolset` to load the MCP tools. Pass this toolset into your `LlmAgent` constructor to expose tools like `extract_metadata` to your Gemini model.

Yes, you can use the optional tool names filter when initializing the toolset. This lets you restrict your agent to only using `take_screenshot` while blocking administrative tools like `advanced_query`.

Gemini's massive context window easily processes the detailed JSON payloads returned by `get_insights`. The ADK handles the raw response stream, converting it into a format the model can reason over instantly.

Yes, you can pass custom parameters through `advanced_query` to emulate specific devices or set custom viewports. The backend handles the rendering, so your agent gets the exact output you specified.

Every URL, PDF, and screenshot processed by the server is handled in an ephemeral sandbox that is destroyed immediately after execution. Your Google ADK agent receives the data directly, and no persistent records of your web metadata remain on our servers.

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