ZenRows 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 ZenRows through 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: {
"zenrows": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "ZenRows Agent",
instructions:
"You help users interact with ZenRows " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with ZenRows?"
);
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 ZenRows MCP Server
Connect your ZenRows 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 ZenRows tool infrastructure. Connect 10 tools through 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 while ZenRows automatically rotates proxies and handles CAPTCHAs
- JavaScript Rendering — Scrape dynamic SPAs and complex web apps by using a headless browser to capture the full rendered state
- Anti-Bot Bypass — Effortlessly bypass sophisticated protections like Cloudflare, DataDome, and PerimeterX with specialized bypass technology
- Markdown Conversion — Automatically convert web pages into clean Markdown, ideal for LLM ingestion and RAG applications
- Structured Data — Use auto-parse to extract JSON data from major e-commerce, search, and social platforms without manual selectors
- Visual Previews — Generate real-time screenshots of target pages to verify rendering or monitor visual changes
- Geographic Targeting — Execute scrapes using high-anonymity residential proxies from specific countries for localized content
The ZenRows 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 ZenRows to Mastra AI via MCP
Follow these steps to integrate the ZenRows 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 ZenRows via MCP
Why Use Mastra AI with the ZenRows MCP Server
Mastra AI provides unique advantages when paired with ZenRows through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add ZenRows 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 ZenRows 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
ZenRows + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the ZenRows MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query ZenRows, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed ZenRows as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query ZenRows on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using ZenRows tools alongside other MCP servers
ZenRows MCP Tools for Mastra AI (10)
These 10 tools become available when you connect ZenRows to Mastra AI via MCP:
get_screenshot
Generates a URL that returns a screenshot of the target page
scrape_antibot
Enables js_render and antibot=true. Scrape with full anti-bot bypass for heavily protected sites
scrape_autoparse
Scrape with automatic structured data extraction
scrape_custom
g. wait, css_extractor, session_id). Execute a scrape using advanced custom parameters
scrape_geo
g. "us", "gb") for localized content. Scrape using a proxy from a specific country
scrape_html
ZenRows automatically rotates proxies and handles CAPTCHAs. Scrape raw HTML using ZenRows anti-bot proxy pool
scrape_js
Enables js_render=true. Slower and more expensive than static scraping. Scrape JS-rendered HTML using ZenRows headless browser
scrape_markdown
Automatically removes boilerplate like navigation and ads. Scrape and convert page content to clean Markdown
scrape_premium
Sets premium_proxy=true for higher anonymity. Scrape using ZenRows premium residential proxies
scrape_wait
g. "#results") to wait for before capturing the HTML. Scrape with JS render waiting for a specific CSS selector
Example Prompts for ZenRows in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with ZenRows immediately.
"Scrape 'https://example.com' and return the content in Markdown."
"Bypass Cloudflare and scrape the rendered HTML of 'https://protected-site.com'."
"Get a screenshot of 'https://news-portal.com/breaking-news'."
Troubleshooting ZenRows MCP Server with Mastra AI
Common issues when connecting ZenRows to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpZenRows + Mastra AI FAQ
Common questions about integrating ZenRows 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 ZenRows 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 ZenRows to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.