Import.io (Web Data Extraction) MCP Server for CrewAI 10 tools — connect in under 2 minutes
Connect your CrewAI agents to Import.io (Web Data Extraction) through Vinkius, pass the Edge URL in the `mcps` parameter and every Import.io (Web Data Extraction) tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.
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from crewai import Agent, Task, Crew
agent = Agent(
role="Import.io (Web Data Extraction) Specialist",
goal="Help users interact with Import.io (Web Data Extraction) effectively",
backstory=(
"You are an expert at leveraging Import.io (Web Data Extraction) 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 Import.io (Web Data Extraction) "
"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 Import.io (Web Data Extraction) MCP Server
Connect your Import.io account to any AI agent and take full control of your web data extraction and large-scale scraping through natural conversation.
When paired with CrewAI, Import.io (Web Data Extraction) becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Import.io (Web Data Extraction) 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
- Precision Extraction — Trigger predefined extractors for specific URLs to retrieve clean, structured JSON data directly from your agent
- Bulk Crawling — Start large-scale data extraction jobs across multiple pages concurrently using managed crawlers and monitor their progress in real-time
- AI-Powered Magic API — Automatically identify and extract tabular data from any website without pre-configured extractors, perfect for rapid exploration
- Status Monitoring — Poll ongoing extraction runs and crawl jobs to track processing states, success rates, and total pages processed
- Data Export — Retrieve extraction results in structured JSON or CSV formats, ready for spreadsheet processing or downstream application logic
- Usage Audit — Monitor your monthly API credit consumption and subscription limits to manage your data extraction budget effectively
The Import.io (Web Data Extraction) 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 Import.io (Web Data Extraction) to CrewAI via MCP
Follow these steps to integrate the Import.io (Web Data Extraction) 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 Import.io (Web Data Extraction)
Why Use CrewAI with the Import.io (Web Data Extraction) MCP Server
CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Import.io (Web Data Extraction) 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
Import.io (Web Data Extraction) + CrewAI Use Cases
Practical scenarios where CrewAI combined with the Import.io (Web Data Extraction) MCP Server delivers measurable value.
Automated multi-step research: a reconnaissance agent queries Import.io (Web Data Extraction) 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 Import.io (Web Data Extraction), analyzes trends over time, and generates executive briefings in markdown or PDF format
Multi-source enrichment pipelines: chain Import.io (Web Data Extraction) 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 Import.io (Web Data Extraction) against predefined policy rules, generates deviation reports, and routes findings to the appropriate team
Import.io (Web Data Extraction) MCP Tools for CrewAI (10)
These 10 tools become available when you connect Import.io (Web Data Extraction) to CrewAI via MCP:
account_usage
No parameters required. Check import.io account API credit usage
download_csv
Returns the first 1000 characters and file stats. Ideal for spreadsheet processing. Download extraction data directly as CSV text
get_crawl_data
Retrieve the unified JSON output of a completed import.io crawl job
get_crawl_status
start_crawl to check progress (pages processed, success rate, current state). Check the status of an ongoing import.io crawl job
get_extractor_data
Fails if the run is still in progress. Retrieve structured JSON data from a completed import.io extraction
get_extractor_status
run_extractor. Returns the current state (running, completed, failed) and metadata about the run. Check the status of an active or past import.io extraction run
list_extractors
Useful for finding the correct extractor_id to run dynamically. List all extractors configured on the import.io account
run_extractor
Triggers an async extraction run and returns a run_id. Use this run_id to poll for status or data. Trigger an import.io extractor for a specific URL
run_magic_api
Ideal for quick, unstructured exploration. Run the import.io automated Magic API against a URL
start_crawl
Starts a large-scale data extraction job across multiple pages concurrently. Trigger an import.io bulk crawl job
Example Prompts for Import.io (Web Data Extraction) in CrewAI
Ready-to-use prompts you can give your CrewAI agent to start working with Import.io (Web Data Extraction) immediately.
"Run extractor 'ext-123' against 'https://example.com/products'"
"List all extractors in my Import.io account"
"Check my monthly API credit usage"
Troubleshooting Import.io (Web Data Extraction) MCP Server with CrewAI
Common issues when connecting Import.io (Web Data Extraction) 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
Import.io (Web Data Extraction) + CrewAI FAQ
Common questions about integrating Import.io (Web Data Extraction) 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 Import.io (Web Data Extraction) with your favorite client
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Connect Import.io (Web Data Extraction) to CrewAI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.