How to Use the Aptabase (Mobile Analytics) MCP in Pydantic AI

Type-safe event tracking for Pydantic AI using Aptabase (Mobile Analytics).

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Connect Aptabase (Mobile Analytics) MCP to Pydantic AI

Create your Vinkius account to connect Aptabase (Mobile Analytics) to Pydantic AI 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 Aptabase (Mobile Analytics) with Pydantic AI

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Type-safe events for Pydantic AI

Pydantic AI validates every response, and this server ensures your telemetry matches your expected schema. You avoid silent failures by enforcing strict data types. Use `send_event` to push your metrics. If the data structure is wrong, the framework catches it before it hits the network.

Integrate Aptabase (Mobile Analytics) with Pydantic AI

Your agents need reliable event logging to report their progress. This MCP Server provides a robust interface for Pydantic AI to push data to your analytics dashboard. Add the toolset to your agent configuration. The `send_event` tool is then ready for your agent to call whenever it needs to log an action.

Validate telemetry in Pydantic AI

You care about data integrity above all else. This server works with Pydantic AI to ensure that every event sent to Aptabase (Mobile Analytics) is correctly formatted. Every call to `send_event` is validated at runtime. You get clear errors if your agent tries to send malformed event data.

Setup guide

Set up Aptabase (Mobile Analytics) MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "aptabase-mobile-analytics-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Aptabase (Mobile Analytics) tools.",
)

result = await agent.run("List recent Aptabase (Mobile Analytics) transactions")
print(result.output)

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