Algolia Analytics 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 Algolia Analytics 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 Algolia Analytics, 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 Algolia Analytics MCP Server
Connect your Algolia application to your AI agent to unlock professional search performance orchestration and data intelligence. From monitoring real-time Click-Through Rates (CTR) and Conversion Rates (CR) to auditing top searches without results and analyzing AB test performance, your agent handles your search strategy through natural conversation.
The Vercel AI SDK gives every Algolia Analytics 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
- Search Performance Auditing — Retrieve granular metrics for CTR, average click position, and conversion rates across your indices
- Term Discovery — List top searches, recent queries, and terms that returned zero results to identify content gaps
- User Intelligence — Monitor unique user counts and filter performance to understand your audience's behavior
- AB Test Monitoring — List and audit active and historical AB tests to ensure your search optimizations are effective
- Insights Automation — Quickly identify search trends or filter performance bottlenecks directly from your chat interface
The Algolia Analytics 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 Algolia Analytics to Vercel AI SDK via MCP
Follow these steps to integrate the Algolia Analytics 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 Algolia Analytics and passes them to the LLM
Why Use Vercel AI SDK with the Algolia Analytics MCP Server
Vercel AI SDK provides unique advantages when paired with Algolia Analytics 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 Algolia Analytics integration everywhere
Built-in streaming UI primitives let you display Algolia Analytics 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
Algolia Analytics + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Algolia Analytics MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Algolia Analytics in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Algolia Analytics tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Algolia Analytics capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Algolia Analytics through natural language queries
Algolia Analytics MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Algolia Analytics to Vercel AI SDK via MCP:
get_average_click_position
Get average click rank
get_click_through_rate
Get search CTR
get_conversion_rate
Get search conversion rate
get_unique_users_count
Count search users
list_ab_tests
List AB testing status
list_no_click_searches
List ignored searches
list_no_result_searches
List failed searches
list_recent_searches
List latest queries
list_top_filters
List popular filters
list_top_searches
List most popular terms
Example Prompts for Algolia Analytics in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Algolia Analytics immediately.
"Show me the Click-Through Rate (CTR) for my 'Products' index for the last 30 days."
"List the top 10 searches that returned no results yesterday."
"Show the results of my active AB tests."
Troubleshooting Algolia Analytics MCP Server with Vercel AI SDK
Common issues when connecting Algolia Analytics to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpAlgolia Analytics + Vercel AI SDK FAQ
Common questions about integrating Algolia Analytics 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 Algolia Analytics 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 Algolia Analytics to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.