SERPHouse MCP Server for Vercel AI SDK 11 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect SERPHouse 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 SERPHouse, 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 SERPHouse MCP Server
Equip your AI assistant with the ultimate crawler module engineered for unbridled search engine access. The SERPHouse MCP integration overcomes the constraints of offline AI knowledge by granting direct, proxy-rotated querying power over Google and Bing endpoints. Seamlessly transform your agent into a high-performance web discovery engine without triggering Captcha blocks.
The Vercel AI SDK gives every SERPHouse tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 11 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
The SERPHouse MCP Server exposes 11 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 SERPHouse to Vercel AI SDK via MCP
Follow these steps to integrate the SERPHouse 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 11 tools from SERPHouse and passes them to the LLM
Why Use Vercel AI SDK with the SERPHouse MCP Server
Vercel AI SDK provides unique advantages when paired with SERPHouse 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 SERPHouse integration everywhere
Built-in streaming UI primitives let you display SERPHouse 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
SERPHouse + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the SERPHouse MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query SERPHouse in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate SERPHouse tools and return structured JSON responses to any frontend
Chatbots with tool use: embed SERPHouse capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with SERPHouse through natural language queries
SERPHouse MCP Tools for Vercel AI SDK (11)
These 11 tools become available when you connect SERPHouse to Vercel AI SDK via MCP:
bing_images
Searches for images on Bing
bing_news
Searches for news on Bing
bing_search
Performs a search on Bing
get_account_info
Retrieves SERPHouse account information
google_images
Searches for images on Google
google_news
Searches for news on Google
google_scholar
Searches for scholarly articles on Google Scholar
google_search
Supports advanced parameters like "location" and "lang". Performs a search on Google
google_shopping
Searches for products on Google Shopping
google_videos
Searches for videos on Google
list_locations
Lists supported locations for SERP queries
Example Prompts for SERPHouse in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with SERPHouse immediately.
"Run a targeted Google Scholar query aimed at finding recent papers on 'quantum consciousness theory' focusing on latest available years."
"Search Bing News locally from a generic 'United Kingdom' location tag to see the latest headlines on economic metrics."
Troubleshooting SERPHouse MCP Server with Vercel AI SDK
Common issues when connecting SERPHouse to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpSERPHouse + Vercel AI SDK FAQ
Common questions about integrating SERPHouse 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 SERPHouse 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 SERPHouse to Vercel AI SDK
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.