Bring Telemetry
to Vercel AI SDK
Learn how to connect Aptabase (Mobile Analytics) to Vercel AI SDK and start using 1 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
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.
How it works
- Subscribe to this server
- Enter your Aptabase App Key
- Start sending telemetry data from your AI agent or development environment
Who is this for?
- Mobile Developers — quickly test event triggers and telemetry payloads during development without manual SDK implementation.
- Product Managers — simulate and verify analytics events for new features directly through conversation.
- QA Engineers — automate the validation of analytics tracking across different OS versions and locales.
Built-in capabilities (1)
Processes events asynchronously. Send an event to Aptabase
Why Vercel AI SDK?
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.
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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
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Built-in streaming UI primitives let you display Aptabase (Mobile Analytics) tool results progressively in React, Svelte, or Vue components
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Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Aptabase (Mobile Analytics) in Vercel AI SDK
Aptabase (Mobile Analytics) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Aptabase (Mobile Analytics) to Vercel AI SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Aptabase (Mobile Analytics) in Vercel AI SDK
The Aptabase (Mobile Analytics) 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. All 1 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Vercel AI SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Aptabase (Mobile Analytics) for Vercel AI SDK
Every tool call from Vercel AI SDK to the Aptabase (Mobile Analytics) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I send custom metadata with my events?
Yes! Use the props field in the send_event tool to provide a JSON object with key-value pairs representing your custom properties.
Is it possible to track the specific OS version?
Absolutely. The send_event tool requires osName and osVersion parameters to ensure your telemetry is correctly segmented in the Aptabase dashboard.
Can I use this for self-hosted Aptabase instances?
Yes, you can optionally provide a baseUrl in the configuration to point the MCP server to your own self-hosted Aptabase instance.
How does the Vercel AI SDK connect to MCP servers?
Import 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?
Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
Does it support streaming tool results?
Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp
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