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.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up Firecrawl MCP in Mastra AI
Prerequisites
- Node.js 18+ and a TypeScript project
-
@mastra/mcp+@mastra/corepackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install @mastra/mcp @mastra/coreplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Configure the MCPClient
Create an
MCPClientwith your Vinkius endpoint as aURLobject. 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'stoolsobject. All Firecrawl tools become native Mastra tools. - 4
Run with any model
Swap
openai("gpt-4o")for any AI SDK-compatible provider. Callagent.generate()and the agent routes tool calls through MCP automatically.
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
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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
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Common questions about Firecrawl MCP in Mastra AI
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