How to Use the Apify MCP in LlamaIndex

Q: How do I index Apify dataset items in LlamaIndex?

Call getdatasetitems to pull the raw scraped JSON. Then, parse those items into LlamaIndex Document objects and insert them into your vector index.

Q: Can LlamaIndex trigger an Apify run based on user queries?

Yes, the agent uses listactors to find the right scraper and runactorsync to execute it. This fetches fresh web data on demand.

Q: How do I handle large scraping datasets in LlamaIndex?

Use the pagination arguments in getdatasetitems. You can load items in batches of 1000 to avoid hitting token limits.

Index scraped web data directly into your LlamaIndex vector stores using this MCP Server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Apify MCP to LlamaIndex

Create your Vinkius account to connect Apify to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Apify with LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Index live web data using the MCP Server

`get_dataset_items` extracts raw JSON payloads directly from your scraping runs to build your search index. Your pipeline pulls fresh web data and converts it into document nodes instantly. This setup eliminates manual data exports. Your RAG applications always query the latest scraped data rather than outdated static files.

Retrieve assets from actor stores

`get_key_value_store` fetches specific run artifacts like screenshots or configuration files. Your agent searches these stores using keys like OUTPUT or SCREENSHOT to locate specific run outputs. Having direct access to store items means your agent can inspect scrape results. It solves the problem of blind scraping runs.

Discover and trigger active scrapers

`list_actors` displays every scraper available in your account. Your agent reads this list to decide which scraper fits the current user query. Once selected, `run_actor_sync` starts the scraper and waits for the data. You get a direct pipeline from user query to fresh web scrape in one go.

Setup guide

Set up Apify MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Apify MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Apify tools.",
)
response = await agent.run("List recent Apify data")

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Apify. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Apify now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Apify MCP in LlamaIndex

Call `get_dataset_items` to pull the raw scraped JSON. Then, parse those items into LlamaIndex Document objects and insert them into your vector index.

Yes, the agent uses `list_actors` to find the right scraper and `run_actor_sync` to execute it. This fetches fresh web data on demand.

It does. This server acts as a live data source, letting your query engine pull fresh scrape results directly into its context window.

Use the pagination arguments in `get_dataset_items`. You can load items in batches of 1000 to avoid hitting token limits.

Your scraped JSON datasets and screenshots are retrieved directly from Apify via HTTPS. Vinkius runs the MCP Server in an isolated, zero-trust sandbox that never caches or logs your data.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript