Nimbleway MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Nimbleway through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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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 Nimbleway, 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 Nimbleway MCP Server
Connect your Nimbleway account to your AI agent and leverage high-performance web data collection through natural conversation.
The Vercel AI SDK gives every Nimbleway tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through 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
- Web Extraction — Fetch and render any web page as raw HTML or clean Markdown using advanced stealth technology to bypass bots.
- Structured Search — Execute real-time web searches and receive structured data directly from major search engines.
- Pipeline Management — List and inspect your data streams (pipelines) to monitor your scraping workflows.
- Usage Monitoring — Track your current bandwidth, remaining credits, and overall account usage in real-time.
- Job Tracking — Monitor the progress and metadata of your active data extraction and crawling jobs.
- Proxy Oversight — Access configuration details for your residential and data center proxy endpoints.
The Nimbleway MCP Server exposes 10 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 Nimbleway to Vercel AI SDK via MCP
Follow these steps to integrate the Nimbleway 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 10 tools from Nimbleway and passes them to the LLM
Why Use Vercel AI SDK with the Nimbleway MCP Server
Vercel AI SDK provides unique advantages when paired with Nimbleway 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 Nimbleway integration everywhere
Built-in streaming UI primitives let you display Nimbleway 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
Nimbleway + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Nimbleway MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Nimbleway in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Nimbleway tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Nimbleway capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Nimbleway through natural language queries
Nimbleway MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Nimbleway to Vercel AI SDK via MCP:
extract_html
Extract web page as HTML
extract_markdown
Extract web page as Markdown
get_account_usage
Check account bandwidth and usage
get_job
Get specific job details
get_me
Get current account info
get_pipeline
Get specific pipeline details
list_jobs
List scraping jobs
list_pipelines
List scraping pipelines
list_proxies
List proxy configuration
search_web
Perform structured web search
Example Prompts for Nimbleway in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Nimbleway immediately.
"Extract the content of 'https://example.com' as Markdown."
"Search the web for 'latest AI developments 2024' and give me structured results."
"Check my account usage and remaining credits."
Troubleshooting Nimbleway MCP Server with Vercel AI SDK
Common issues when connecting Nimbleway to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpNimbleway + Vercel AI SDK FAQ
Common questions about integrating Nimbleway 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 Nimbleway 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 Nimbleway to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.