ValueSERP 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 ValueSERP through the 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 ValueSERP, 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 ValueSERP MCP Server
Connect your ValueSERP account to any AI agent and integrate highly scalable, reliable, and real-time Google search data parsing into your conversational flow, bypassing CAPTCHAs and blocks.
The Vercel AI SDK gives every ValueSERP tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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
- Comprehensive Google Search — Perform rapid programmatic queries across Google Organic, Images, News, Videos, and Scholar straight from your agent's interface.
- E-Commerce & Local SEO — Access raw Google Places and Google Shopping data to analyze competitor margins, finding ratings, coordinates, and product price shifts.
- Intent Discovery — Retrieve predictive Google Autocomplete suggestions and 'People Also Ask' related snippets to understand semantic search behavior.
- Advanced SERP Queries — Execute highly customized parameter inputs targeting specific granular geolocation bounds (gl), language codes (hl), and synthetic device overrides.
The ValueSERP 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 ValueSERP to Vercel AI SDK via MCP
Follow these steps to integrate the ValueSERP 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 ValueSERP and passes them to the LLM
Why Use Vercel AI SDK with the ValueSERP MCP Server
Vercel AI SDK provides unique advantages when paired with ValueSERP 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 ValueSERP integration everywhere
Built-in streaming UI primitives let you display ValueSERP 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
ValueSERP + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the ValueSERP MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query ValueSERP in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate ValueSERP tools and return structured JSON responses to any frontend
Chatbots with tool use: embed ValueSERP capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with ValueSERP through natural language queries
ValueSERP MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect ValueSERP to Vercel AI SDK via MCP:
custom_serp_search
Provide parameters as a JSON object. Executes a highly customized Google search with advanced parameters
get_related_questions
Retrieves "People Also Ask" questions and answers from Google
get_search_suggestions
Retrieves predictive search suggestions from Google autocomplete
google_image_search
Returns direct URLs to image files. Searches for images on Google
google_news_search
Searches for news articles on Google
google_places_search
Provide a place name and location. Searches for local businesses and places on Google Maps
google_scholar_search
Searches for academic publications and abstracts on Google Scholar
google_search
Provide a query string and optional location. Performs a standard Google search for organic results
google_shopping_search
Returns product names, prices, and merchant links. Searches for products and prices on Google Shopping
google_video_search
Searches for video content on Google
Example Prompts for ValueSERP in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with ValueSERP immediately.
"Search Google Scholar for recent papers on 'quantum computing error correction'."
"Find the top business ratings for 'pizza places in Chicago' using Google Places."
"Check Google Autocomplete suggestions when someone types 'how to start a'."
Troubleshooting ValueSERP MCP Server with Vercel AI SDK
Common issues when connecting ValueSERP to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpValueSERP + Vercel AI SDK FAQ
Common questions about integrating ValueSERP 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 ValueSERP 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 ValueSERP to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.