Bring Telemetry
to Pydantic AI
Learn how to connect Aptabase (Mobile Analytics) to Pydantic AI 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 Pydantic AI?
Pydantic AI validates every Aptabase (Mobile Analytics) tool response against typed schemas, catching data inconsistencies at build time. Connect 1 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
- —
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Aptabase (Mobile Analytics) integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your Aptabase (Mobile Analytics) connection logic from agent behavior for testable, maintainable code
Aptabase (Mobile Analytics) in Pydantic AI
Aptabase (Mobile Analytics) and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Aptabase (Mobile Analytics) to Pydantic AI 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 Pydantic AI
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 Pydantic AI 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 Pydantic AI
Every tool call from Pydantic AI 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 Pydantic AI discover MCP tools?
Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
Does Pydantic AI validate MCP tool responses?
Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
Can I switch LLM providers without changing MCP code?
Absolutely. Pydantic AI abstracts the model layer. your Aptabase (Mobile Analytics) MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
MCPServerHTTP not found
Update: pip install --upgrade pydantic-ai
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