How to Use the Firecrawl Alternative MCP in Mastra AI

Q: Can I use this Firecrawl Alternative for automated Mastra AI research?

Absolutely. By combining mapwebsite and scrapeurl, your agent can research a topic across dozens of pages without human oversight.

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Connect Firecrawl Alternative MCP to Mastra AI

Create your Vinkius account to connect Firecrawl Alternative to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Firecrawl Alternative with Mastra AI

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Claude

Perplexity

Conditional crawling for Mastra AI

Integrate `crawl_url` into your Mastra agent workflows to trigger actions based on site changes. If a crawl fails, you can define a retry policy that handles the error without user input. This gives your automation a way to navigate sites that require multiple steps. It treats web data as a formal part of your business logic.

Reliable data extraction for Mastra AI

Use `scrape_url` to grab markdown content for your agents to analyze. It provides consistent output formats that make downstream processing predictable. Your workflows can now depend on structured text rather than messy page scrapes. It simplifies the logic needed to parse and act on external content.

Automated cleanup in Mastra AI agents

Keep your environment clean by calling `delete_crawl_job` after your workflow finishes. It ensures you aren't leaving stale data logs in the system. This keeps your agent memory clear and your project organized. It is a simple way to maintain order in complex, multi-step operations.

Setup guide

Set up Firecrawl Alternative MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Firecrawl Alternative tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "firecrawl-alternative-mcp-client",
  servers: {
    "firecrawl-alternative-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Firecrawl Alternative Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Firecrawl Alternative tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Firecrawl Alternative transactions"
);
console.log(result.text);

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Common questions about Firecrawl Alternative MCP in Mastra AI

It serves as a tool collection that your Mastra agent calls during execution. You define the workflow, and the agent uses the tools to get the data it needs.

It does. You map the server tools directly to your agent configuration. The framework handles the connection and tool approval automatically.

Absolutely. By combining `map_website` and `scrape_url`, your agent can research a topic across dozens of pages without human oversight.

The MCP server returns an error response, which your Mastra workflow can catch. You can then trigger a fallback action or a retry.

We use isolated memory for every request. The data extracted—such as page text and site links—is ephemeral and never persisted on our servers.

Use it with your favorite AI tools

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