Import.io (Web Data Extraction) MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Import.io (Web Data Extraction) through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Import.io (Web Data Extraction) "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Import.io (Web Data Extraction)?"
)
print(result.data)
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 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.
Pydantic AI validates every Import.io (Web Data Extraction) tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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 Pydantic AI 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 Pydantic AI via MCP
Follow these steps to integrate the Import.io (Web Data Extraction) MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Import.io (Web Data Extraction) with type-safe schemas
Why Use Pydantic AI with the Import.io (Web Data Extraction) MCP Server
Pydantic AI provides unique advantages when paired with Import.io (Web Data Extraction) through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Import.io (Web Data Extraction) integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Import.io (Web Data Extraction) connection logic from agent behavior for testable, maintainable code
Import.io (Web Data Extraction) + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Import.io (Web Data Extraction) MCP Server delivers measurable value.
Type-safe data pipelines: query Import.io (Web Data Extraction) with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Import.io (Web Data Extraction) tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Import.io (Web Data Extraction) and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Import.io (Web Data Extraction) responses and write comprehensive agent tests
Import.io (Web Data Extraction) MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect Import.io (Web Data Extraction) to Pydantic AI 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 Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting Import.io (Web Data Extraction) to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiImport.io (Web Data Extraction) + Pydantic AI FAQ
Common questions about integrating Import.io (Web Data Extraction) MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect Import.io (Web Data Extraction) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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.
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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 Import.io (Web Data Extraction) to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.