How to Use the Aptabase (Mobile Analytics) MCP in AutoGen

Q: How do I register Aptabase (Mobile Analytics) in an AutoGen agent?

Use the mcpservertools helper from the autogen-ext package to load the sendevent tool. Pass this tool directly to your AssistantAgent constructor.

Q: Can multiple AutoGen agents access the Aptabase (Mobile Analytics) MCP Server simultaneously?

Yes, any agent in your group chat can call sendevent if configured with the tool. The agents coordinate who dispatches the event based on your conversation flow.

Let your AutoGen agents debate and coordinate before sending telemetry events to Aptabase.

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Setup Aptabase (Mobile Analytics) with AutoGen

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Coordinate telemetry logging with AutoGen agents

The `send_event` tool allows your AutoGen agents to post custom telemetry to Aptabase after reaching a consensus. An execution agent proposes a log, while a validator agent checks the format before dispatching. This ensures that only clean, verified mobile events enter your analytics dashboard. You avoid duplicate or malformed logs by letting agents negotiate the payload.

Build consensus before using this MCP Server

This MCP Server works within AutoGen's multi-agent conversations to verify event properties before dispatching with `send_event`. Your security agent can inspect the telemetry data before the execution agent runs the tool. It prevents sensitive user information from accidentally being sent to your analytics platform. The agents work together to sanitize payloads in real time.

Automated telemetry testing in AutoGen

The `send_event` tool lets your testing agents simulate mobile user behavior and log the results directly. One agent acts as the mobile user, while another logs the simulated telemetry. You test your tracking setup before deploying to production. The agents verify that the correct event names and properties are received.

Setup guide

Set up Aptabase (Mobile Analytics) MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Aptabase (Mobile Analytics) tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Aptabase (Mobile Analytics)_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Aptabase (Mobile Analytics) data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Aptabase (Mobile Analytics)_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Aptabase (Mobile Analytics) data")
    print(result.messages[-1].content)

Get your connection token →

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Common questions about Aptabase (Mobile Analytics) MCP in AutoGen

Use the `mcp_server_tools` helper from the `autogen-ext` package to load the `send_event` tool. Pass this tool directly to your AssistantAgent constructor.

Yes, any agent in your group chat can call `send_event` if configured with the tool. The agents coordinate who dispatches the event based on your conversation flow.

The McpToolAdapter class handles all JSON schema conversions automatically. Your agents see the `send_event` tool with native AutoGen schemas.

The integration supports both stdio and Streamable HTTP transports. You configure the connection using the Vinkius endpoint URL.

The server processes your analytics payloads in a secure V8 isolate. Event names and properties are transmitted directly to Aptabase over encrypted connections without being stored.

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