How to Use the Countly MCP in Vercel AI SDK

Q: Does Vercel AI SDK support user session management via the Countly MCP?

Absolutely. Your agent can call beginsession and endsession dynamically as users navigate your application, keeping your records accurate.

Stream Countly session data and custom event metrics directly into your Vercel AI SDK React frontend in real-time.

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…and any MCP-compatible client

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Connect Countly MCP to Vercel AI SDK

Create your Vinkius account to connect Countly to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Countly with Vercel AI SDK

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Live session monitoring for Vercel AI SDK

Your user interface shouldn't make people wait for a backend roundtrip. By combining this MCP Server with your Next.js frontend, you can trigger `begin_session` or `update_session` and watch the interface update instantly. The streaming component of the SDK means your end-users see active counts change on their screen as the agent runs. You get to build highly responsive, analytics-driven dashboards that feel alive.

Update user details instantly on the edge

Running analytics on edge functions can be a pain with cold starts. This integration lets your agent call `update_user_details` on the fly without dragging down performance. Because the client is lightweight, you can spin up edge routes that modify user metadata based on what they're doing in the app. There's no heavy SDK footprint to slow down your Next.js endpoints.

Query behavioral metrics via the MCP Server

Pulling complex analytics shouldn't require writing raw SQL or navigating a heavy UI. Your agent can use this MCP connection to run `read_drill` or `read_events` to grab specific user actions instantly. The tool results stream directly into your UI components, showing raw data or charts the second they're available. It makes analyzing user behaviors feel like a natural conversation.

Setup guide

Set up Countly 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

Install dependencies

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

Discover and use tools

Call mcpClient.tools() to auto-discover all Countly tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
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 Countly transactions",
});

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Countly. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Countly now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

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 Countly MCP in Vercel AI SDK

Install @ai-sdk/mcp and run createMCPClient with the Vinkius URL. Pass the tools directly into your streamText function and remember to call mcpClient.close() once the streaming completes.

Yes, you can control tool exposure during initialization. Simply select which tools, like read_metrics or record_events, are passed to the model when calling the generator.

Absolutely. Your agent can call begin_session and end_session dynamically as users navigate your application, keeping your records accurate.

Vinkius handles the underlying credentials so you don't have to manage multiple keys. Your code only needs to supply a single Vinkius endpoint token when configuring the MCP client.

Your session data and user details never persist on Vinkius. We run every request inside an ephemeral, zero-trust V8 isolate sandbox, keeping your tracking data isolated and private.

Use it with your favorite AI tools

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