Crawlbase MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Crawlbase as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="crawlbase_agent",
tools=tools,
system_message=(
"You help users with Crawlbase. "
"10 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(main())
* 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 Crawlbase MCP Server
Connect your Crawlbase (formerly ProxyCrawl) account to any AI agent and take full control of your web scraping and anonymous crawling workflows through natural conversation.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Crawlbase tools. Connect 10 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
What you can do
- Standard Scraper — Identify bounded routing spaces inside the headless engine to extract explicitly attached HTML content via datacenter proxies
- JS Rendering — Discover disconnected physical limits tracking exactly what JS-rendered frames expose to extract exact single-page UI bounds
- Structured JSON Extraction — Analyzes specific global bounds driving auto-extraction pipelines to force raw HTTP outputs into structured JSON format strictly
- Screenshot Capture — Dispatch automated validation checks to generate valid proxy endpoints returning configured Crawlbase screenshot URLs
- Specialized Scraping — Leverage dedicated algorithms for Amazon products, LinkedIn profiles, Facebook pages, and Twitter (X) graph profiles natively
- Search Engine Discovery — Explain explicitly mapped proxy lists targeting Google domains to parse SERP limits and bypass CAPTCHAs limitlessly
- Custom Proxy Management — Provision highly-available request payloads generating custom proxies with specific headers and crawling logic
The Crawlbase MCP Server exposes 10 tools through the Vinkius. Connect it to AutoGen 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 Crawlbase to AutoGen via MCP
Follow these steps to integrate the Crawlbase MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 10 tools from Crawlbase automatically
Why Use AutoGen with the Crawlbase MCP Server
AutoGen provides unique advantages when paired with Crawlbase through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Crawlbase tools to solve complex tasks
Role-based architecture lets you assign Crawlbase tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Crawlbase tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Crawlbase tool responses in an isolated environment
Crawlbase + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Crawlbase MCP Server delivers measurable value.
Collaborative analysis: one agent queries Crawlbase while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Crawlbase, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Crawlbase data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Crawlbase responses in a sandboxed execution environment
Crawlbase MCP Tools for AutoGen (10)
These 10 tools become available when you connect Crawlbase to AutoGen via MCP:
custom_scrape
Provision a highly-available Request Payload generating Custom proxies
get_screenshot_link
Dispatch an automated validation check routing explicit Web Snapshot domains
scrape_amazon
Inspect deep internal arrays mitigating specific E-Commerce constraints
scrape_facebook
Enumerate explicitly attached structured rules exporting active Social Pages
scrape_google_serp
Identify precise active arrays spanning rented Context domains for Search
scrape_html
crawlbase.com` datacenter proxies. Identify bounded routing spaces inside the Headless Crawlbase Engine
scrape_js_rendered
Retrieve explicit Cloud logging tracing explicit Payload IDs limitlessly
scrape_json_format
Perform structural extraction of properties driving active Fields
scrape_linkedin
Retrieve the exact structural matching verifying Blueprint constraints
scrape_twitter
Fetch elaborate explicit mapped limits via Crawlbase X extraction
Example Prompts for Crawlbase in AutoGen
Ready-to-use prompts you can give your AutoGen agent to start working with Crawlbase immediately.
"Scrape the price and features from this Amazon product: [Amazon URL]"
"Get Google search results for 'best machine learning platforms 2024'"
"Take a screenshot of https://example.com"
Troubleshooting Crawlbase MCP Server with AutoGen
Common issues when connecting Crawlbase to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Crawlbase + AutoGen FAQ
Common questions about integrating Crawlbase MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect Crawlbase with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Crawlbase to AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.