How to Use the Firecrawl MCP in Vercel AI SDK

Q: How do I monitor Firecrawl limits in Vercel AI SDK?

Use the getapiusage tool within your agent logic. It returns your current credit count so your Vercel AI SDK app can throttle requests if needed.

Q: What happens if a crawl stalls?

You can trigger cancelactivecrawl to terminate the job. It stops the request immediately to protect your resources.

Convert live websites into clean markdown for your Vercel AI SDK projects. Handle JS rendering without the overhead.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Firecrawl MCP to Vercel AI SDK

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

GDPR Free for Subscribers

Setup Firecrawl with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Real-time web scraping for Vercel AI SDK

Feed your UI with live data by piping `scrape_url` results directly into your stream. This tool handles the heavy lifting of JavaScript rendering so your Edge Functions don't choke on complex DOM structures. You get clean markdown output that fits right into your AI models. It removes the need for custom parsing logic in your frontend code.

Manage crawls from your Vercel AI SDK workflow

Use `start_crawl` to initiate deep data ingestion and monitor your progress with `get_crawl_status`. It keeps your background processes moving while the AI client manages the state. If a job goes off the rails, call `cancel_active_crawl` to kill the process instantly. This saves your compute budget from runaway requests.

Track resource usage in Vercel AI SDK

Call `get_api_usage` to keep tabs on your credit consumption during active scraping sessions. It integrates into your observability stack to prevent unexpected billing spikes. Use `map_website_structure` to discover pages before you crawl them. This prevents wasted cycles on irrelevant content.

Setup guide

Set up Firecrawl MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Firecrawl tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Firecrawl transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

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.

Connect Firecrawl now

Real-time monitoring

Live

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 Vercel AI SDK

Yes, you can pipe the markdown output directly into your stream. It ensures your Vercel AI SDK components display data as it arrives.

Use the `get_api_usage` tool within your agent logic. It returns your current credit count so your Vercel AI SDK app can throttle requests if needed.

Yes, trigger a crawl job and poll for updates. Your Vercel AI SDK agent can handle the status checks asynchronously without blocking the main event loop.

We keep your scraped content isolated within your session. Your data stays between your client and the target site.

You can trigger `cancel_active_crawl` to terminate the job. It stops the request immediately to protect your resources.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python