How to Use the Crawlbase MCP in CrewAI

Equip your CrewAI agent teams with Crawlbase tools to scrape social networks and search engines autonomously.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Crawlbase MCP to CrewAI

Create your Vinkius account to connect Crawlbase to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Crawlbase with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Deconstruct Social Networks Using CrewAI Teams

`scrape_linkedin` retrieves structural matches to verify profile blueprint constraints. Your research agent uses this to map professional networks while a separate analyst agent processes the raw output. Simultaneously, your social media agent can deploy `scrape_twitter` to fetch mapped limits via Crawlbase X extraction. CrewAI manages the shared memory so both agents coordinate their intelligence.

Automate E-Commerce Intel with CrewAI

`scrape_amazon` mitigates e-commerce constraints by inspecting deep internal arrays on product listings. Your purchasing agent can track inventory levels and price drops autonomously. The MCP Server abstracts the proxy management. This lets your crew focus on decision-making instead of fighting anti-bot systems.

Deploy Headless Crawling Agents

`scrape_html` uses Crawlbase datacenter proxies to retrieve raw HTML from target domains. Your crawling agent downloads the markup and hands it off to a writer agent for synthesis. This division of labor keeps your token usage efficient. The scraper agent only handles raw ingestion, while the smarter agent processes the cleaned text.

Setup guide

Set up Crawlbase MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Crawlbase tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Crawlbase Analyst",
    goal="Access and analyze Crawlbase data via MCP.",
    backstory="Expert analyst with direct Crawlbase access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Crawlbase transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Crawlbase Analyst",
        goal="Access and analyze Crawlbase data via MCP.",
        backstory="Expert analyst with direct Crawlbase access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Crawlbase transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

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 Crawlbase. 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.

Connect Crawlbase now

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 Crawlbase MCP in CrewAI

Pass the Vinkius HTTP endpoint URL directly into the agent's tools list. This exposes the entire MCP suite to that specific agent.

Yes. When executing hierarchical or sequential tasks, separate agents can call different scraping tools simultaneously without blocking each other.

The underlying Crawlbase engine solves CAPTCHAs automatically before returning the page data. Your agents only receive clean, readable HTML.

Use the Streamable HTTP transport provided by Vinkius. It provides a stable, stateless connection that fits CrewAI's multi-agent execution model.

Yes. All scraped profile data and target URLs are processed in memory within an ephemeral V8 sandbox. This MCP configuration never stores or logs the scraped payloads.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript