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How to Use the Geekflare MCP in Google ADK

Connect Google ADK agents to live domain diagnostics with this MCP Server.

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…and any MCP-compatible client

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Google ADK

Connect Geekflare MCP to Google ADK

Create your Vinkius account to connect Geekflare 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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Google ADK tools for infrastructure auditing

Integrate `scan_ssl_tls_cert` and `run_lighthouse_audit` into your Google Cloud agent pipelines. It gives your models the visibility needed to assess external web assets. Your agents can now perform technical audits on demand, turning raw diagnostic data into actionable reports for your team.

Real-time DNS and WHOIS data for Google ADK

Pull `get_dns_records` and `get_whois_data` directly into your agent's reasoning process. It allows for fast lookup of domain ownership and configuration status. Having this data available helps your agents verify environment setup or investigate potential configuration drift in real time.

Performance and link checking in Google ADK

Use `measure_load_time` and `check_broken_links` to monitor site health continuously. The agent spots issues before they trigger user complaints. Capturing `take_website_screenshot` allows your agents to visually verify that your staging and production environments match your intended design.

Setup guide

Set up Geekflare 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. 1

    Install Google ADK

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

  2. 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. 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. 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 Geekflare 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="Geekflare_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Geekflare tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Geekflare. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Geekflare MCP in Google ADK

Yes, it uses the standard transport layer. You define the toolset in your agent configuration, and it connects to our managed infrastructure.
They can. You define the logic where the agent executes a scan if a specific performance threshold is missed.
Use the tool_names parameter in your configuration to expose only the specific diagnostics your agent requires for its current task.
It runs as an external service that your agent calls. Your agent keeps its access to BigQuery and other cloud resources while auditing external domains.
Your audit requests are isolated in the V8 sandbox. We never persist the results of your scans, ensuring your domain data remains yours.

Start using the Geekflare MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 7 tools

We've already built the connector for Geekflare. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 7 tools are live and waiting. You're up and running in seconds.

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