Import.io (Web Data Extraction) MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Import.io (Web Data Extraction) through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Import.io (Web Data Extraction) Assistant",
instructions=(
"You help users interact with Import.io (Web Data Extraction). "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Import.io (Web Data Extraction)"
)
print(result.final_output)
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.
The OpenAI Agents SDK auto-discovers all 10 tools from Import.io (Web Data Extraction) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Import.io (Web Data Extraction), another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Import.io (Web Data Extraction) MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Import.io (Web Data Extraction)
Why Use OpenAI Agents SDK with the Import.io (Web Data Extraction) MCP Server
OpenAI Agents SDK provides unique advantages when paired with Import.io (Web Data Extraction) through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Import.io (Web Data Extraction) + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Import.io (Web Data Extraction) MCP Server delivers measurable value.
Automated workflows: build agents that query Import.io (Web Data Extraction), process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Import.io (Web Data Extraction), another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Import.io (Web Data Extraction) tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Import.io (Web Data Extraction) to resolve tickets, look up records, and update statuses without human intervention
Import.io (Web Data Extraction) MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Import.io (Web Data Extraction) to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Import.io (Web Data Extraction) to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Import.io (Web Data Extraction) + OpenAI Agents SDK FAQ
Common questions about integrating Import.io (Web Data Extraction) MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Import.io (Web Data Extraction) 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 Import.io (Web Data Extraction) to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.