ScraperAPI MCP Server for Cursor 10 tools — connect in under 2 minutes
Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.
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{
"mcpServers": {
"scraperapi": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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.
Cursor's Agent mode turns ScraperAPI into an in-editor superpower. Ask Cursor to generate code using live data from ScraperAPI and it fetches, processes, and writes. all in a single agentic loop. 10 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
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 Cursor 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 Cursor via MCP
Follow these steps to integrate the ScraperAPI MCP Server with Cursor.
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
Save the file
Cursor will automatically detect the new MCP server
Start using ScraperAPI
Open Agent mode in chat and ask: "Using ScraperAPI, help me...". 10 tools available
Why Use Cursor with the ScraperAPI MCP Server
Cursor AI Code Editor provides unique advantages when paired with ScraperAPI through the Model Context Protocol.
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
ScraperAPI + Cursor Use Cases
Practical scenarios where Cursor combined with the ScraperAPI MCP Server delivers measurable value.
Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP
Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically
Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates
Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data
ScraperAPI MCP Tools for Cursor (10)
These 10 tools become available when you connect ScraperAPI to Cursor 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 Cursor
Ready-to-use prompts you can give your Cursor 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 Cursor
Common issues when connecting ScraperAPI to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
ScraperAPI + Cursor FAQ
Common questions about integrating ScraperAPI MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.Can Cursor use MCP tools in inline edits?
How do I verify MCP tools are loaded?
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 Cursor
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
