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Scrapfly MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Ai Data Extraction, Capture Screenshot, Check Credit Usage, and more

Built by Vinkius GDPR 12 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Scrapfly 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 Scrapfly app connector for LlamaIndex is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
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 Scrapfly. "
            "You have 12 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Scrapfly?"
    )
    print(response)

asyncio.run(main())
Scrapfly
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* 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 Scrapfly MCP Server

Connect your Scrapfly account to any AI agent and take full control of your web data extraction and scraping orchestration through natural conversation. Scrapfly provides a professional-grade scraping API that combines headless browser rendering, premium residential proxies, and AI-driven data extraction, and this integration allows you to retrieve raw HTML, take element-level screenshots, and convert pages into structured JSON directly from your chat interface.

LlamaIndex agents combine Scrapfly tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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

  • Stealth Scraper Orchestration — Retrieve clean HTML from any website while bypassing Cloudflare, Akamai, and other anti-bot systems programmatically.
  • AI-Driven Data Extraction — Use LLM-powered extraction models to transform complex web pages into structured JSON data directly from the AI interface.
  • Visual Intelligence — Capture full-page or element-specific screenshots with support for dark mode and ad-blocking via natural language.
  • Proxy & Region Control — Access millions of residential proxies across 50+ countries to ensure your data collection is always localized and reliable.
  • Operational Monitoring — Track system activity, monitor API credit consumption, and manage project metadata using simple AI commands.

The Scrapfly MCP Server exposes 12 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 12 Scrapfly tools available for LlamaIndex

When LlamaIndex connects to Scrapfly through Vinkius, your AI agent gets direct access to every tool listed below — spanning scrapfly, web-scraping, data-extraction, 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.

ai_data_extraction

Extract structured data

capture_screenshot

Take a website screenshot

check_credit_usage

Check usage stats

get_api_status

Check account info

get_project_details

Get project info

get_scraping_capabilities

Check scraping features

get_screenshot_capabilities

Check screenshot features

list_api_webhooks

List configured webhooks

list_extraction_models

List AI models

list_proxy_regions

Check proxy options

test_scrapfly_auth

Verify credentials

web_scrape

Scrape any website

Connect Scrapfly to LlamaIndex via MCP

Follow these steps to wire Scrapfly into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 12 tools from Scrapfly

Why Use LlamaIndex with the Scrapfly MCP Server

LlamaIndex provides unique advantages when paired with Scrapfly through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine Scrapfly tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain Scrapfly tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query Scrapfly, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what Scrapfly tools were called, what data was returned, and how it influenced the final answer

Scrapfly + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Scrapfly MCP Server delivers measurable value.

01

Hybrid search: combine Scrapfly real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query Scrapfly to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Scrapfly for fresh data

04

Analytical workflows: chain Scrapfly queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Scrapfly in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Scrapfly immediately.

01

"Scrape the homepage of 'https://news.ycombinator.com' and return the HTML."

02

"Scrape the product listings from the first 3 pages of an e-commerce category with pricing data."

03

"Take a full-page screenshot of our competitor's pricing page and extract the plan details."

Troubleshooting Scrapfly MCP Server with LlamaIndex

Common issues when connecting Scrapfly to LlamaIndex through the Vinkius, and how to resolve them.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Scrapfly + LlamaIndex FAQ

Common questions about integrating Scrapfly MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Scrapfly tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.