WebScrapingAPI MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect WebScrapingAPI through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"webscrapingapi": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "WebScrapingAPI Agent",
instructions:
"You help users interact with WebScrapingAPI " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with WebScrapingAPI?"
);
console.log(result.text);
}
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 WebScrapingAPI MCP Server
Connect your WebScrapingAPI account to any AI agent and harness the power of industrial-grade web scraping through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and WebScrapingAPI tool infrastructure. Connect 10 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
What you can do
- Universal Scraping — Retrieve raw HTML from any website using a massive network of datacenter and residential proxies to avoid blocks
- JavaScript Rendering — Scrape complex SPAs and dynamic pages by using a headless browser to capture the full rendered state
- SERP Discovery — Retrieve structured search engine results (organic, ads, snippets) from Google, Bing, and Yandex
- E-commerce Extraction — Scrape product details like price, reviews, and titles from major stores like Amazon and Walmart into structured JSON
- Anonymity & Bypass — Use residential or mobile proxies for high-anonymity scraping and to bypass even the most aggressive bot detections
- Auto-Parsing — Automatically extract structured data from news articles or product pages without manual selectors
- Custom Parameters — Execute scrapes with advanced options like geo-targeting, sessions, and custom headers
The WebScrapingAPI MCP Server exposes 10 tools through the Vinkius. Connect it to Mastra 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 WebScrapingAPI to Mastra AI via MCP
Follow these steps to integrate the WebScrapingAPI MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from WebScrapingAPI via MCP
Why Use Mastra AI with the WebScrapingAPI MCP Server
Mastra AI provides unique advantages when paired with WebScrapingAPI through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add WebScrapingAPI without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every WebScrapingAPI tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
WebScrapingAPI + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the WebScrapingAPI MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query WebScrapingAPI, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed WebScrapingAPI as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query WebScrapingAPI on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using WebScrapingAPI tools alongside other MCP servers
WebScrapingAPI MCP Tools for Mastra AI (10)
These 10 tools become available when you connect WebScrapingAPI to Mastra AI via MCP:
custom_api_scrape
g. country, session, wait_for). Execute a scrape using advanced custom parameters
scrape_and_auto_extract
g. for news or product pages). Scrape with automatic structured data extraction
scrape_as_mobile
Scrape as a mobile device using WebScrapingAPI device emulation
scrape_ecommerce_product
Returns price, title, and reviews as structured JSON. Scrape product details from Amazon, Walmart, or other supported stores
scrape_js_rendered
Slower but captures the full rendered state. Scrape JS-rendered HTML using WebScrapingAPI headless browser
scrape_static_html
Pass the full target URL. Scrape raw HTML from any URL using WebScrapingAPI datacenter proxies
scrape_via_residential_proxy
Scrape using residential proxies for high anonymity and bypass
search_bing_serp
Retrieve structured search engine results from Bing
search_google_serp
Provide a query string. Retrieve structured search engine results from Google
search_yandex_serp
Retrieve structured search engine results from Yandex
Example Prompts for WebScrapingAPI in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with WebScrapingAPI immediately.
"Scrape the rendered HTML of 'https://example.com/dynamic-dashboard'."
"Search Google for 'best wireless noise cancelling headphones' and return structured results."
"Get the price and rating for the product at 'https://amazon.com/dp/B09XXX'."
Troubleshooting WebScrapingAPI MCP Server with Mastra AI
Common issues when connecting WebScrapingAPI to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpWebScrapingAPI + Mastra AI FAQ
Common questions about integrating WebScrapingAPI MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect WebScrapingAPI with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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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 WebScrapingAPI to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.