Oxylabs MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Oxylabs through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 Oxylabs "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Oxylabs?"
)
print(result.data)
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 Oxylabs MCP Server
Give your AI agent the ability to extract structured data from any website with Oxylabs Web Scraping API. Scrape Google, Amazon, Bing, and Yandex with specialized parsers, or hit any arbitrary URL with the universal scraper — with optional headless browser rendering.
Pydantic AI validates every Oxylabs tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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
- Universal Scraper — Extract HTML from any website. Enable JS rendering for single-page apps that require client-side execution
- Google Search — Parse Google SERPs with organic rankings, knowledge panels, ads, and featured snippets, localized by country TLD
- Google Shopping — Extract product listings with merchants, prices, reviews, and availability from Google Shopping
- Google Images — Pull image URLs, dimensions, and hosting origins from Google Image Search
- Google News — Extract time-indexed news articles with publishers and publication dates
- Amazon Search — Scrape Amazon product listings with ASINs, prices, Prime markers, and seller data across regional domains
- Amazon Product — Deep-extract individual product pages with variations, stock states, bullet points, and vendor hierarchies
- Bing Search — Parse Bing SERPs with organic web graph snippets
- Yandex Search — Extract rankings from the Yandex search engine for CIS/RU market analysis
- Custom Payload — Send fully customized Oxylabs schema payloads for advanced proxy and location configurations
The Oxylabs MCP Server exposes 10 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.
How to Connect Oxylabs to Pydantic AI via MCP
Follow these steps to integrate the Oxylabs MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
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 Oxylabs with type-safe schemas
Why Use Pydantic AI with the Oxylabs MCP Server
Pydantic AI provides unique advantages when paired with Oxylabs through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Oxylabs integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Oxylabs connection logic from agent behavior for testable, maintainable code
Oxylabs + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Oxylabs MCP Server delivers measurable value.
Type-safe data pipelines: query Oxylabs with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Oxylabs tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Oxylabs and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Oxylabs responses and write comprehensive agent tests
Oxylabs MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect Oxylabs to Pydantic AI via MCP:
scrape_amazon_product
Extract deep E-Commerce retail arrays extracting arbitrary Amazon ASINs
scrape_amazon_search
Perform structured data extraction looping over Amazon query listings
scrape_bing_serp
Calculate and extract structured Bing Search Web mappings
scrape_custom_payload
oxylabs.io/v1/queries` customizing Proxy Types, Locations and deeply nested config params. Dispatch entirely arbitrary strict Oxylabs Payload JSON structures
scrape_google_images
Parse and Scrape specific Google Image Search layout blocks
scrape_google_news
Export time-indexed News articles via Google News blocks
scrape_google_serp
Extract Google Search Engine Results Page (SERP) blocks structurally
scrape_google_shopping
Extract E-Commerce structures hitting Google Shopping engines
scrape_universal
oxylabs.io/v1/queries` endpoint mapping `source=universal`. Dynamically extracts raw remote HTML safely avoiding proxy blocks. Use `js_render=true` explicitly if the target SPA strictly requires client rendering. Scrape any arbitrary HTML website using Oxylabs Universal Scraper API
scrape_yandex_serp
Execute structural analysis indexing Yandex Search instances
Example Prompts for Oxylabs in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Oxylabs immediately.
"Search Google for 'best noise cancelling headphones 2024' and show me the top 5 organic results."
"Get the full product details for Amazon ASIN B0C8PSXB2M."
"Scrape the homepage of techcrunch.com with JavaScript rendering enabled."
Troubleshooting Oxylabs MCP Server with Pydantic AI
Common issues when connecting Oxylabs to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiOxylabs + Pydantic AI FAQ
Common questions about integrating Oxylabs MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect Oxylabs 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 Oxylabs to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.