Import.io (Web Data Extraction) MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Import.io (Web Data Extraction) as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Import.io (Web Data Extraction). "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Import.io (Web Data Extraction)?"
)
print(response)
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.
LlamaIndex agents combine Import.io (Web Data Extraction) tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Import.io (Web Data Extraction) MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
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)
Why Use LlamaIndex with the Import.io (Web Data Extraction) MCP Server
LlamaIndex provides unique advantages when paired with Import.io (Web Data Extraction) through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Import.io (Web Data Extraction) tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Import.io (Web Data Extraction) tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Import.io (Web Data Extraction), a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Import.io (Web Data Extraction) tools were called, what data was returned, and how it influenced the final answer
Import.io (Web Data Extraction) + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Import.io (Web Data Extraction) MCP Server delivers measurable value.
Hybrid search: combine Import.io (Web Data Extraction) real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Import.io (Web Data Extraction) to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Import.io (Web Data Extraction) for fresh data
Analytical workflows: chain Import.io (Web Data Extraction) queries with LlamaIndex's data connectors to build multi-source analytical reports
Import.io (Web Data Extraction) MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Import.io (Web Data Extraction) to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Import.io (Web Data Extraction) to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpImport.io (Web Data Extraction) + LlamaIndex FAQ
Common questions about integrating Import.io (Web Data Extraction) MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.