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How to Use the Firecrawl MCP in Mastra AI

Automate web data ingestion in Mastra AI workflows. Crawl sites and manage jobs with simple TypeScript tools.

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Works with every AI agent you already use

…and any MCP-compatible client

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Mastra AI

Connect Firecrawl MCP to Mastra AI

Create your Vinkius account to connect Firecrawl 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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Deep site mapping for Mastra AI

Run `map_website_structure` to index a site's topology before you commit to a full crawl. It helps your Mastra AI agents decide exactly which endpoints require scraping. You avoid unnecessary deep crawls on irrelevant subdirectories. It keeps your agent workflows lean and efficient.

Trigger crawls within Mastra AI agents

Execute `start_crawl` to begin bulk data extraction as part of a multi-step workflow. The MCP Server hands back a job ID for tracking. You can chain this with `get_crawl_status` to create conditional logic. If the crawl finishes, your agent proceeds to the analysis phase.

Handle site scraping in Mastra AI

Use `scrape_url` to pull content into your agent's memory as clean markdown. It bypasses JS-rendering hurdles that usually break standard scrapers. Your agents get structured context without the noise of raw HTML. This improves the accuracy of your autonomous decision-making.

Setup guide

Set up Firecrawl 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and inject tools

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

  4. 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-extended-mcp-client",
  servers: {
    "firecrawl-extended-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Firecrawl. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

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visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Firecrawl MCP in Mastra AI

Add the server to your agent configuration. You can then call `start_crawl` or `scrape_url` as tools within your agent's execution steps.
Check your consumption using `get_api_usage`. You can build a retry loop in Mastra AI to handle rate limit errors gracefully.
Yes, it provides status checks and cancellation tools. It is built for persistent background tasks within your agent pipelines.
All traffic is encrypted in transit. Your specific crawl results are never stored or exposed to other users.
The server retrieves text and structure from the target URL. It does not touch your internal system credentials or private environment variables.

Start using the Firecrawl MCP today

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Built & Managed by Vinkius 30s setup 6 tools

We've already built the connector for Firecrawl. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 6 tools are live and waiting. You're up and running in seconds.

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