Aptabase (Mobile Analytics) MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 1 tools to Send Event
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Aptabase (Mobile Analytics) through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this MCP Server for Vercel AI SDK
The Aptabase (Mobile Analytics) MCP Server for Vercel AI SDK is a standout in the Developer Tools category — giving your AI agent 1 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Aptabase (Mobile 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 Aptabase (Mobile Analytics) MCP Server
Connect your Aptabase account to any AI agent to streamline your mobile and desktop analytics workflow. Aptabase is a privacy-first, open-source alternative to Google Analytics and Firebase.
The Vercel AI SDK gives every Aptabase (Mobile Analytics) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 1 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
- Event Tracking — Send custom events like
app_started,purchase_completed, orbutton_clickedwith specific properties. - System Metadata — Include detailed system information such as OS name, version, app version, and locale for precise segmentation.
- Privacy-First Analytics — Leverage Aptabase's privacy-centric approach to collect data without compromising user trust.
- Custom Properties — Attach flat JSON objects to your events to capture granular user behavior and business metrics.
The Aptabase (Mobile Analytics) MCP Server exposes 1 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 1 Aptabase (Mobile Analytics) tools available for Vercel AI SDK
When Vercel AI SDK connects to Aptabase (Mobile Analytics) through Vinkius, your AI agent gets direct access to every tool listed below — spanning telemetry, mobile-analytics, event-tracking, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Send event on Aptabase (Mobile Analytics)
Processes events asynchronously. Send an event to Aptabase
Connect Aptabase (Mobile Analytics) to Vercel AI SDK via MCP
Follow these steps to wire Aptabase (Mobile Analytics) into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Aptabase (Mobile Analytics) MCP Server
Vercel AI SDK provides unique advantages when paired with Aptabase (Mobile 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 Aptabase (Mobile Analytics) integration everywhere
Built-in streaming UI primitives let you display Aptabase (Mobile 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
Aptabase (Mobile Analytics) + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Aptabase (Mobile Analytics) MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Aptabase (Mobile Analytics) in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Aptabase (Mobile Analytics) tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Aptabase (Mobile Analytics) capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Aptabase (Mobile Analytics) through natural language queries
Example Prompts for Aptabase (Mobile Analytics) in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Aptabase (Mobile Analytics) immediately.
"Send an 'app_launch' event for my iOS app version 1.0.1."
"Track a 'purchase_completed' event with properties for 'plan: pro' and 'amount: 19.99'."
"Log a telemetry event for a Windows desktop app version 2.4.0 named 'sync_started'."
Troubleshooting Aptabase (Mobile Analytics) MCP Server with Vercel AI SDK
Common issues when connecting Aptabase (Mobile Analytics) to Vercel AI SDK through Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpAptabase (Mobile Analytics) + Vercel AI SDK FAQ
Common questions about integrating Aptabase (Mobile 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.Explore More MCP Servers
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