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

Built by Vinkius GDPR 12 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Scrapfly through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Ask AI about this App Connector for Pydantic AI

The Scrapfly app connector for Pydantic AI 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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Scrapfly "
            "(12 tools)."
        ),
    )

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

asyncio.run(main())
Scrapfly
Fully ManagedVinkius Servers
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High SecurityEnterprise-grade
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

Pydantic AI validates every Scrapfly tool response against typed schemas, catching data inconsistencies at build time. Connect 12 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI

When Pydantic AI 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 Pydantic AI via MCP

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

01

Install Pydantic AI

Run pip install pydantic-ai
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 with type-safe schemas

Why Use Pydantic AI with the Scrapfly MCP Server

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

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Scrapfly integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

Dependency injection system cleanly separates your Scrapfly connection logic from agent behavior for testable, maintainable code

Scrapfly + Pydantic AI Use Cases

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

01

Type-safe data pipelines: query Scrapfly with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple Scrapfly tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query Scrapfly and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock Scrapfly responses and write comprehensive agent tests

Example Prompts for Scrapfly in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Scrapfly + Pydantic AI FAQ

Common questions about integrating Scrapfly MCP Server with Pydantic AI.

01

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
02

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Scrapfly MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.