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How to Use the Pirsch Analytics MCP in Vercel AI SDK

Feed real-time privacy-first web traffic metrics directly into your React or Next.js UI using Vercel AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

Pirsch Analytics MCP on Cursor AI Code Editor MCP Client Pirsch Analytics MCP on Claude Desktop App MCP Integration Pirsch Analytics MCP on OpenAI Agents SDK MCP Compatible Pirsch Analytics MCP on Visual Studio Code MCP Extension Client Pirsch Analytics MCP on GitHub Copilot AI Agent MCP Integration Pirsch Analytics MCP on Google Gemini AI MCP Integration Pirsch Analytics MCP on Lovable AI Development MCP Client Pirsch Analytics MCP on Mistral AI Agents MCP Compatible Pirsch Analytics MCP on Amazon AWS Bedrock MCP Support
MCP Servers — Included with Plan
Vinkius runs on Vercel AI SDK

Connect Pirsch Analytics MCP to Vercel AI SDK

Create your Vinkius account to connect Pirsch Analytics to Vercel AI SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Key Capabilities

Feed live traffic data directly to Vercel AI SDK

The `get_statistics_overview` tool pulls core domain performance metrics directly into your streaming UI. Your users watch visitor counts, bounce rates, and session durations update live on the page without dealing with stale loading states. This setup uses Edge-compatible execution to fetch fresh numbers fast. By pairing this with `get_statistics_active`, your interface displays immediate active user counts the second the agent receives the request.

Track user actions instantly from the edge

The `send_hit` tool records page views instantly without relying on heavy client-side tracking scripts. Your edge functions capture clean traffic data and push it straight to your analytics dashboard before the browser even finishes rendering. For bulk operations, you run `send_hit_batch` to package multiple page visits together. This keeps your database operations light and prevents your serverless functions from timing out during high-traffic spikes.

Analyze conversion funnels using this MCP Server

The `get_statistics_goals` tool inspects your custom conversion targets to verify which marketing paths actually work. Your agent queries conversion rates and goal completions to adjust your user acquisition tactics on the fly. You also pull referral channels using `get_statistics_referrer` to pinpoint where your traffic originates. This lets you map out the entire user path from first click to final conversion.

Setup guide

Set up Pirsch Analytics MCP in Vercel AI SDK

Prerequisites

  • Node.js 18+ and a TypeScript project
  • ai + @modelcontextprotocol/sdk packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Create the Streamable HTTP transport

    Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all Pirsch Analytics tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 4

    Works with any model provider

    Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts
import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Pirsch Analytics transactions",
});

console.log(text);
await mcpClient.close();

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Pirsch Analytics. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Built-in savings

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Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Pirsch Analytics MCP in Vercel AI SDK

You initialize the MCP client and pass the server tools directly to `streamText`. Your agent invokes `get_statistics_overview` to fetch real-time site data. The results stream straight into your frontend component.
Yes. Your agent runs `send_event` to log custom user interactions like button clicks or signups. For high-volume edge environments, you use `send_event_batch` to group these calls and save execution time.
The agent uses `list_domains` to retrieve all configured sites. It can then call `create_domain` to register new web properties dynamically during runtime.
Always call `mcpClient.close()` once your text generation completes. This prevents dangling socket connections inside your serverless or edge runtime environments.
Completely. This server only processes basic page views, UTM parameters, and custom events. No personal identity data or tracking cookies are ever touched, and all communication runs through encrypted V8 isolates.

Start using the Pirsch Analytics MCP today

We host it, we monitor it, we maintain it. You just paste one token.

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