Firecrawl MCP Server for Vercel AI SDK 4 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Firecrawl through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token — get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Firecrawl, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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 Firecrawl MCP Server
Connect your AI agent to Firecrawl — the most popular web scraping API built specifically for AI and LLM applications.
The Vercel AI SDK gives every Firecrawl tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 4 tools through the Vinkius and stream results progressively to React, Svelte, or Vue components — works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Scrape Pages — Extract clean Markdown from any URL. Firecrawl handles JavaScript rendering, anti-bot protection, cookie banners, and dynamic content automatically
- Search the Web — Search and scrape in one call. Get Google-like search results with full page content already extracted
- Crawl Websites — Recursively crawl entire sites, following internal links. Perfect for indexing documentation, blogs, or product catalogs
- Map Sites — Discover all URLs on a domain without scraping content. Understand site structure before deciding what to extract
The Firecrawl MCP Server exposes 4 tools through the Vinkius. Connect it to Vercel AI SDK 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 Firecrawl to Vercel AI SDK via MCP
Follow these steps to integrate the Firecrawl MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 4 tools from Firecrawl and passes them to the LLM
Why Use Vercel AI SDK with the Firecrawl MCP Server
Vercel AI SDK provides unique advantages when paired with Firecrawl through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime — same Firecrawl integration everywhere
Built-in streaming UI primitives let you display Firecrawl tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Firecrawl + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Firecrawl MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Firecrawl in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Firecrawl tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Firecrawl capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Firecrawl through natural language queries
Firecrawl MCP Tools for Vercel AI SDK (4)
These 4 tools become available when you connect Firecrawl to Vercel AI SDK via MCP:
crawl_site
Each page is scraped and converted to Markdown. Returns a job ID to track progress. Crawl an entire website and extract content from multiple pages. Returns a job ID for async tracking
map_site
Useful for understanding site architecture before deciding which pages to scrape. Discover all URLs on a website without scraping content. Returns a sitemap of discovered links
scrape_page
Handles anti-bot protection, cookie banners, and dynamic content automatically. Scrape a single web page and extract its content as clean Markdown. Perfect for reading articles, documentation, and product pages
search_web
Ideal for research, fact-checking, and gathering information on any topic. Search the web and return scraped content from the top results. Combines Google-like search with automatic content extraction
Example Prompts for Firecrawl in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Firecrawl immediately.
"Scrape the main page of docs.firecrawl.dev and give me a summary of what Firecrawl offers."
"Search the web for 'best practices for RAG pipelines 2026' and return the top 3 results with content."
"Map all pages on example.com to see the site structure."
Troubleshooting Firecrawl MCP Server with Vercel AI SDK
Common issues when connecting Firecrawl to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpFirecrawl + Vercel AI SDK FAQ
Common questions about integrating Firecrawl MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Firecrawl 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 Firecrawl to Vercel AI SDK
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.