ScraperAPI MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect ScraperAPI through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="ScraperAPI Assistant",
instructions=(
"You help users interact with ScraperAPI. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from ScraperAPI"
)
print(result.final_output)
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 ScraperAPI MCP Server
Connect your ScraperAPI account to any AI agent to bypass IP bans, CAPTCHAs, and complex anti-bot systems. Allow your agent to scrape the web dynamically using a pool of millions of proxies.
The OpenAI Agents SDK auto-discovers all 10 tools from ScraperAPI through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries ScraperAPI, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Render JavaScript — Command your AI to fetch data from SPAs (Single Page Applications) like React or Vue sites flawlessly
- Structured E-commerce & SEO — Extract parsed Amazon product pages via ASIN or pull Google SERP attributes in structured JSON formats directly to your chat
- Premium Unblocking — Access high-quality residential proxies automatically when dealing with ultra-secure or aggressive Cloudflare-protected targets
- Asynchronous & Visual Scraping — Spawn background scraping jobs for slow-loading pages or ask the AI to generate full-page screenshot URLs upon request
The ScraperAPI MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK 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 ScraperAPI to OpenAI Agents SDK via MCP
Follow these steps to integrate the ScraperAPI MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from ScraperAPI
Why Use OpenAI Agents SDK with the ScraperAPI MCP Server
OpenAI Agents SDK provides unique advantages when paired with ScraperAPI through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
ScraperAPI + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the ScraperAPI MCP Server delivers measurable value.
Automated workflows: build agents that query ScraperAPI, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries ScraperAPI, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through ScraperAPI tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query ScraperAPI to resolve tickets, look up records, and update statuses without human intervention
ScraperAPI MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect ScraperAPI to OpenAI Agents SDK via MCP:
create_async_job
Returns a job ID. Creates an asynchronous scraping job
custom_scrape
Performs a scrape with custom ScraperAPI parameters
get_account_stats
Retrieves API usage statistics
get_async_job
Retrieves the status and result of an async job
get_screenshot_link
Generates a URL to capture a full-page screenshot
scrape_amazon
Retrieves structured Amazon product details
scrape_google_serp
Retrieves structured Google Search results
scrape_html
Automatically rotates proxies. Scrapes standard HTML from a URL
scrape_js_rendered
Scrapes a URL with JavaScript rendering enabled
scrape_premium
Scrapes a URL using high-quality residential proxies
Example Prompts for ScraperAPI in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with ScraperAPI immediately.
"Scrape an Amazon product page for this ASIN: B08J5F3G18 and list its price."
"Run a Google SERP check for the keyword 'best LLM orchestration frameworks'."
"Take a screenshot of https://netflix.com homepage so I can check its layout."
Troubleshooting ScraperAPI MCP Server with OpenAI Agents SDK
Common issues when connecting ScraperAPI to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
ScraperAPI + OpenAI Agents SDK FAQ
Common questions about integrating ScraperAPI MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect ScraperAPI 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 ScraperAPI to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.