How is Spider different from Firecrawl?

Spider is built in Rust and optimized for raw speed and volume — it can crawl 100K+ pages per second, making it 10-20x faster than Firecrawl for large-scale operations. Spider also offers lower per-page costs at high volume, built-in stealth mode with fingerprint rotation, and multiple request modes (HTTP, Smart, Chrome). Firecrawl excels at simplicity and LLM-specific features like JSON extraction.

What output formats does Spider support?

Spider supports Markdown, HTML, raw HTML, plain text, JSON (structured extraction), screenshots, and PDF output. You can specify the desired format via the return_format parameter in each request.

How does Spider pricing work?

Spider offers 500 free credits to get started (no credit card required). Paid plans are usage-based with credits consumed per page scraped. The Starter plan begins at $15/month with 12,000 credits. Enterprise plans offer custom pricing with dedicated infrastructure and unlimited concurrency.

Spider MCP Server for Google ADK 3 tools — connect in under 2 minutes

Name: Spider
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 3 Tools SDK

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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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="spider_agent",
    instruction=(
        "You help users interact with Spider "
        "using 3 available tools."
    ),
    tools=[mcp_tools],
)

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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 Spider MCP Server

Connect your AI agent to Spider.cloud — the fastest web scraping API in the market, built in Rust for maximum performance.

Google ADK natively supports Spider as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 3 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

Scrape Pages — Extract content from any URL as Markdown, HTML, or plain text. Spider handles JavaScript rendering, anti-bot protection, and proxy rotation
Crawl Sites — Recursively crawl entire websites at speeds exceeding 100K pages/second. Follow internal links and extract structured data at scale
Search & Scrape — Search the web and scrape results in a single API call. Combines discovery with extraction for maximum efficiency

Why Spider over alternatives?

10-20x faster than Firecrawl for large crawls (Rust engine vs Node.js)
Lower cost per page at high volume
Built-in stealth mode with fingerprint rotation and residential proxies

The Spider MCP Server exposes 3 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 Spider to Google ADK via MCP

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

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 3 tools from Spider via MCP

Why Use Google ADK with the Spider MCP Server

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

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

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

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

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

Spider + Google ADK Use Cases

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

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

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

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

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

Spider MCP Tools for Google ADK (3)

These 3 tools become available when you connect Spider to Google ADK via MCP:

spider_crawl

Spider.cloud Rust engine follows internal links and scrapes each page. Configure depth and page limits to control scope. Crawl an entire website at blazing speed — up to 100K+ pages/second. Returns content from multiple pages following internal links

spider_scrape

cloud Rust-powered engine to scrape a single URL. Handles JavaScript rendering, anti-bot protection, and proxy rotation automatically. Supports multiple output formats: markdown (default), html, text. Scrape a single web page at high speed using Spider.cloud. Returns clean content in Markdown, HTML, or plain text format

spider_search

Combines search + scrape in one API call for maximum efficiency. Search the web and scrape results in a single high-performance request via Spider.cloud

Example Prompts for Spider in Google ADK

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

"Scrape the homepage of spider.cloud and show me what they offer."

"Crawl docs.python.org and get the first 5 pages."

"Search for 'machine learning frameworks comparison 2026' and scrape the top 3 results."

Troubleshooting Spider MCP Server with Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

Spider + Google ADK FAQ

Common questions about integrating Spider MCP Server with Google ADK.

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.

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.

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.