How to Use the Firecrawl MCP in Google ADK

Feed clean web Markdown directly to your Google ADK pipelines for long-context Gemini reasoning.

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Connect Firecrawl MCP to Google ADK

Create your Vinkius account to connect Firecrawl 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 Firecrawl with Google ADK

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Direct web search for Google ADK

The `search_web` MCP Server tool queries the internet and extracts clean, scraped Markdown from the top search results in a single step. It allows your Google ADK agent to ground its reasoning in real-time web data rather than stale training sets. This tool bypasses the need for separate search APIs and page-scraping steps. Gemini gets the actual body text of the top search hits immediately, fitting perfectly into its massive context window.

Target page scraping via this MCP Server

The `scrape_page` tool grabs a single web page, bypasses bot detection, and formats the output into clean Markdown. It gives your Google ADK agent the exact text it needs without dealing with raw HTML parsing or CSS selectors. By feeding only high-signal text to Gemini, you minimize token usage. This tool handles cookie banners and dynamic JavaScript automatically, so your pipeline never gets stuck on popups.

Mapping site structures

The `map_site` tool scans a domain and returns its complete URL structure as a clean sitemap. It lets your Google ADK agent discover relevant pages before committing to a full scrape. Use this tool to build clean crawling strategies. It helps your enterprise agent identify documentation paths or blog structures without wasting API credits on useless pages.

Setup guide

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Firecrawl. 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 Firecrawl MCP in Google ADK

You initialize the toolset with the Vinkius MCP Server URL. The Google ADK agent auto-discovers the scraping tools and makes them available to Gemini instantly.

The MCP Server returns clean Markdown directly to your agent, which you can then write to BigQuery. This allows you to build automated pipelines that clean and store web data in your Google Cloud warehouse.

Yes, Gemini's massive context window is perfect for the large text files returned by the MCP Server. The Google ADK agent can ingest entire documentation sites scraped by the server without running out of memory.

The server handles JavaScript rendering automatically. Your agent gets the fully rendered content without needing a headless browser setup in your Google Cloud environment.

No, the Vinkius platform processes your raw HTML and URLs inside isolated, ephemeral containers. All extracted Markdown is streamed directly to your Google ADK agent and wiped from memory immediately after the request completes.

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