Crawlbase 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 Crawlbase 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: {
"crawlbase": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Crawlbase Agent",
instructions:
"You help users interact with Crawlbase " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Crawlbase?"
);
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 Crawlbase MCP Server
Connect your Crawlbase (formerly ProxyCrawl) account to any AI agent and take full control of your web scraping and anonymous crawling workflows through natural conversation.
Mastra's agent abstraction provides a clean separation between LLM logic and Crawlbase 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
- Standard Scraper — Identify bounded routing spaces inside the headless engine to extract explicitly attached HTML content via datacenter proxies
- JS Rendering — Discover disconnected physical limits tracking exactly what JS-rendered frames expose to extract exact single-page UI bounds
- Structured JSON Extraction — Analyzes specific global bounds driving auto-extraction pipelines to force raw HTTP outputs into structured JSON format strictly
- Screenshot Capture — Dispatch automated validation checks to generate valid proxy endpoints returning configured Crawlbase screenshot URLs
- Specialized Scraping — Leverage dedicated algorithms for Amazon products, LinkedIn profiles, Facebook pages, and Twitter (X) graph profiles natively
- Search Engine Discovery — Explain explicitly mapped proxy lists targeting Google domains to parse SERP limits and bypass CAPTCHAs limitlessly
- Custom Proxy Management — Provision highly-available request payloads generating custom proxies with specific headers and crawling logic
The Crawlbase 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 Crawlbase to Mastra AI via MCP
Follow these steps to integrate the Crawlbase 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 Crawlbase via MCP
Why Use Mastra AI with the Crawlbase MCP Server
Mastra AI provides unique advantages when paired with Crawlbase through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Crawlbase 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 Crawlbase 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
Crawlbase + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Crawlbase MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Crawlbase, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Crawlbase as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Crawlbase on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Crawlbase tools alongside other MCP servers
Crawlbase MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Crawlbase to Mastra AI via MCP:
custom_scrape
Provision a highly-available Request Payload generating Custom proxies
get_screenshot_link
Dispatch an automated validation check routing explicit Web Snapshot domains
scrape_amazon
Inspect deep internal arrays mitigating specific E-Commerce constraints
scrape_facebook
Enumerate explicitly attached structured rules exporting active Social Pages
scrape_google_serp
Identify precise active arrays spanning rented Context domains for Search
scrape_html
crawlbase.com` datacenter proxies. Identify bounded routing spaces inside the Headless Crawlbase Engine
scrape_js_rendered
Retrieve explicit Cloud logging tracing explicit Payload IDs limitlessly
scrape_json_format
Perform structural extraction of properties driving active Fields
scrape_linkedin
Retrieve the exact structural matching verifying Blueprint constraints
scrape_twitter
Fetch elaborate explicit mapped limits via Crawlbase X extraction
Example Prompts for Crawlbase in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Crawlbase immediately.
"Scrape the price and features from this Amazon product: [Amazon URL]"
"Get Google search results for 'best machine learning platforms 2024'"
"Take a screenshot of https://example.com"
Troubleshooting Crawlbase MCP Server with Mastra AI
Common issues when connecting Crawlbase to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpCrawlbase + Mastra AI FAQ
Common questions about integrating Crawlbase 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 Crawlbase 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 Crawlbase to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.