AddSearch 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 AddSearch 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 AddSearch, 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 AddSearch MCP Server
Connect your AddSearch account to your AI agent and turn your site's search index into an interactive, manageable database. Perfect for content teams and developers who need to audit site search performance without opening dashboards.
The Vercel AI SDK gives every AddSearch 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
- Deep Search — Query your indexed content using natural language, apply custom field filters (e.g. "category=shoes"), or sort by custom variables
- Document Management — List all indexed pages, import new content directly via JSON, or permanently delete outdated documents from the index
- Search Analytics — Retrieve live statistics on user queries, identifying top searches, zero-result queries, and click-through rates
- Frontend Emulation — Test your auto-suggestions and pagination just like a real user interacting with your search bar
The AddSearch 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 AddSearch to Vercel AI SDK via MCP
Follow these steps to integrate the AddSearch 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 AddSearch and passes them to the LLM
Why Use Vercel AI SDK with the AddSearch MCP Server
Vercel AI SDK provides unique advantages when paired with AddSearch 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 AddSearch integration everywhere
Built-in streaming UI primitives let you display AddSearch 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
AddSearch + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the AddSearch MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query AddSearch in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate AddSearch tools and return structured JSON responses to any frontend
Chatbots with tool use: embed AddSearch capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with AddSearch through natural language queries
AddSearch MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect AddSearch to Vercel AI SDK via MCP:
autosuggest
Get autocomplete suggestions
delete_document
Requires Secret Key. Permanently delete a document
index_document
Requires Secret Key. Add or update an indexed document
list_documents
Requires Secret Key. List all indexed documents
search_filtered
g., "category=shoes", "brand=nike"). Search indexed content by custom field
search_keyword
Search indexed content by keyword
search_pagination
Retrieve a specific page of search results
search_sorted
Search indexed content with custom sort
stats_clicks
Requires Secret Key. Retrieve click-through analytics
stats_queries
Requires Secret Key. Retrieve search query analytics
Example Prompts for AddSearch in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with AddSearch immediately.
"Show me the top search queries that resulted in 0 hits."
"Search my site for "pricing updates" filtered by category=news."
"Test the auto-suggest for the prefix "shoe"."
Troubleshooting AddSearch MCP Server with Vercel AI SDK
Common issues when connecting AddSearch to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpAddSearch + Vercel AI SDK FAQ
Common questions about integrating AddSearch 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 AddSearch 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 AddSearch to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.