ZenRows MCP Server for CrewAI 10 tools — connect in under 2 minutes
Connect your CrewAI agents to ZenRows through Vinkius, pass the Edge URL in the `mcps` parameter and every ZenRows tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from crewai import Agent, Task, Crew
agent = Agent(
role="ZenRows Specialist",
goal="Help users interact with ZenRows effectively",
backstory=(
"You are an expert at leveraging ZenRows tools "
"for automation and data analysis."
),
# Your Vinkius token. get it at cloud.vinkius.com
mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)
task = Task(
description=(
"Explore all available tools in ZenRows "
"and summarize their capabilities."
),
agent=agent,
expected_output=(
"A detailed summary of 10 available tools "
"and what they can do."
),
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
* 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 ZenRows MCP Server
Connect your ZenRows account to any AI agent and harness the power of industrial-grade web scraping through natural conversation.
When paired with CrewAI, ZenRows becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call ZenRows tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
What you can do
- Universal Scraping — Retrieve raw HTML from any website while ZenRows automatically rotates proxies and handles CAPTCHAs
- JavaScript Rendering — Scrape dynamic SPAs and complex web apps by using a headless browser to capture the full rendered state
- Anti-Bot Bypass — Effortlessly bypass sophisticated protections like Cloudflare, DataDome, and PerimeterX with specialized bypass technology
- Markdown Conversion — Automatically convert web pages into clean Markdown, ideal for LLM ingestion and RAG applications
- Structured Data — Use auto-parse to extract JSON data from major e-commerce, search, and social platforms without manual selectors
- Visual Previews — Generate real-time screenshots of target pages to verify rendering or monitor visual changes
- Geographic Targeting — Execute scrapes using high-anonymity residential proxies from specific countries for localized content
The ZenRows MCP Server exposes 10 tools through the Vinkius. Connect it to CrewAI 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 ZenRows to CrewAI via MCP
Follow these steps to integrate the ZenRows MCP Server with CrewAI.
Install CrewAI
Run pip install crewai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Customize the agent
Adjust the role, goal, and backstory to fit your use case
Run the crew
Run python crew.py. CrewAI auto-discovers 10 tools from ZenRows
Why Use CrewAI with the ZenRows MCP Server
CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with ZenRows through the Model Context Protocol.
Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
ZenRows + CrewAI Use Cases
Practical scenarios where CrewAI combined with the ZenRows MCP Server delivers measurable value.
Automated multi-step research: a reconnaissance agent queries ZenRows for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff
Scheduled intelligence reports: set up a crew that periodically queries ZenRows, analyzes trends over time, and generates executive briefings in markdown or PDF format
Multi-source enrichment pipelines: chain ZenRows tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow
Compliance and audit automation: a compliance agent queries ZenRows against predefined policy rules, generates deviation reports, and routes findings to the appropriate team
ZenRows MCP Tools for CrewAI (10)
These 10 tools become available when you connect ZenRows to CrewAI via MCP:
get_screenshot
Generates a URL that returns a screenshot of the target page
scrape_antibot
Enables js_render and antibot=true. Scrape with full anti-bot bypass for heavily protected sites
scrape_autoparse
Scrape with automatic structured data extraction
scrape_custom
g. wait, css_extractor, session_id). Execute a scrape using advanced custom parameters
scrape_geo
g. "us", "gb") for localized content. Scrape using a proxy from a specific country
scrape_html
ZenRows automatically rotates proxies and handles CAPTCHAs. Scrape raw HTML using ZenRows anti-bot proxy pool
scrape_js
Enables js_render=true. Slower and more expensive than static scraping. Scrape JS-rendered HTML using ZenRows headless browser
scrape_markdown
Automatically removes boilerplate like navigation and ads. Scrape and convert page content to clean Markdown
scrape_premium
Sets premium_proxy=true for higher anonymity. Scrape using ZenRows premium residential proxies
scrape_wait
g. "#results") to wait for before capturing the HTML. Scrape with JS render waiting for a specific CSS selector
Example Prompts for ZenRows in CrewAI
Ready-to-use prompts you can give your CrewAI agent to start working with ZenRows immediately.
"Scrape 'https://example.com' and return the content in Markdown."
"Bypass Cloudflare and scrape the rendered HTML of 'https://protected-site.com'."
"Get a screenshot of 'https://news-portal.com/breaking-news'."
Troubleshooting ZenRows MCP Server with CrewAI
Common issues when connecting ZenRows to CrewAI through the Vinkius, and how to resolve them.
MCP tools not discovered
Agent not using tools
Timeout errors
Rate limiting or 429 errors
ZenRows + CrewAI FAQ
Common questions about integrating ZenRows MCP Server with CrewAI.
How does CrewAI discover and connect to MCP tools?
tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.Can different agents in the same crew use different MCP servers?
mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.What happens when an MCP tool call fails during a crew run?
Can CrewAI agents call multiple MCP tools in parallel?
process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.Can I run CrewAI crews on a schedule (cron)?
crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.Connect ZenRows with your favorite client
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Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect ZenRows to CrewAI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.