Octoparse MCP Server for LlamaIndexGive LlamaIndex instant access to 8 tools to Get New Data, Get Task Data, Get Task Status, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Octoparse 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 App Connector for LlamaIndex
The Octoparse app connector for LlamaIndex is a standout in the Industry Titans category — giving your AI agent 8 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Octoparse. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in Octoparse?"
)
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 Octoparse MCP Server
Connect your Octoparse account to any AI agent and take full control of your web data orchestration through natural conversation. Octoparse is the premier no-code web scraping tool, and this integration allows you to retrieve task metadata, trigger cloud extractions, and ingest structured web data directly from your chat interface.
LlamaIndex agents combine Octoparse tool responses with indexed documents for comprehensive, grounded answers. Connect 8 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
- Task & Group Orchestration — List all managed scraping tasks and retrieve detailed group metadata programmatically to ensure your data foundation is always synchronized.
- Cloud Extraction Control — Start and stop cloud-based scraping tasks directly from the AI interface to rapidly gather real-time data from any website.
- Extraction Intelligence — Retrieve extracted data in bulk or filter for 'non-exported' records via natural language to drive better research efficiency.
- Status Monitoring Oversight — Access real-time task statuses (Running, Completed, Stopped) using simple AI commands to ensure your data collection is always optimized.
- Operational Monitoring — Track system responses and manage data status updates to maintain a high-fidelity interaction history.
The Octoparse MCP Server exposes 8 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.
All 8 Octoparse tools available for LlamaIndex
When LlamaIndex connects to Octoparse through Vinkius, your AI agent gets direct access to every tool listed below — spanning data-extraction, no-code, web-automation, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Get new (non-exported) data from a task
Get extracted data from a task by offset
Get status of a scraping task
List all task groups
Can be filtered by task group ID. List tasks
Start a scraping task
Stop a scraping task
Mark data as exported
Connect Octoparse to LlamaIndex via MCP
Follow these steps to wire Octoparse into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Octoparse MCP Server
LlamaIndex provides unique advantages when paired with Octoparse through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Octoparse tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Octoparse tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Octoparse, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Octoparse tools were called, what data was returned, and how it influenced the final answer
Octoparse + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Octoparse MCP Server delivers measurable value.
Hybrid search: combine Octoparse real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Octoparse 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 Octoparse for fresh data
Analytical workflows: chain Octoparse queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Octoparse in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Octoparse immediately.
"List all my scraping tasks in Octoparse."
"Start running my Amazon product scraping task and check its current status."
"Get the extracted data from my latest completed scraping task."
Troubleshooting Octoparse MCP Server with LlamaIndex
Common issues when connecting Octoparse to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpOctoparse + LlamaIndex FAQ
Common questions about integrating Octoparse MCP Server with LlamaIndex.