How to Use the GrowingIO MCP in OpenAI Agents SDK

Q: Can an agent write new events using this MCP Server?

No, this server only reads GrowingIO data like listevents and listvariables into your agent environment. It does not support write actions or schema modifications.

Run OpenAI Agents SDK pipelines with direct access to GrowingIO analytics data to query user segments and funnel drop-offs.

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Connect GrowingIO MCP to OpenAI Agents SDK

Create your Vinkius account to connect GrowingIO to OpenAI Agents SDK 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 GrowingIO with OpenAI Agents SDK

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Target cohorts using OpenAI Agents SDK

Your OpenAI Agents SDK agent uses `list_segments` to inspect GrowingIO user cohorts directly within your python runtime. By running this GrowingIO MCP Server, your OpenAI Agents SDK pipeline extracts active user IDs via `get_segment_users` to target cohorts dynamically. This setup removes the manual step of exporting GrowingIO CSVs into your OpenAI Agents SDK execution loop. The resulting execution loop runs the GrowingIO query, grabs the user IDs, and passes them to downstream tools.

Track funnel drop-offs with an MCP Server

Your OpenAI Agents SDK agent calls `get_funnel` to pinpoint exact steps where GrowingIO conversion rates tank. Stop guessing where users quit; let your OpenAI Agents SDK pipeline inspect the specific actions triggering those failures via `get_event`. Because the OpenAI Agents SDK handles agent handoffs, a diagnostic agent can analyze the GrowingIO funnel and pass the raw data to a developer agent. This developer agent then uses the GrowingIO event details to locate the broken UI element.

Monitor advertising campaigns and metrics

Your OpenAI Agents SDK agent uses `list_ads` to combine GrowingIO campaign tracking and performance metrics in one run. By exposing these tools to your OpenAI Agents SDK setup, your agent flags underperforming GrowingIO campaigns without human intervention. It checks the GrowingIO metrics via `get_metrics`, identifies the weak ad ID, and alerts your team. This automated alerting loop ensures your OpenAI Agents SDK workflows always have fresh GrowingIO campaign data.

Setup guide

Set up GrowingIO MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all GrowingIO tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives GrowingIO tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate GrowingIO tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="GrowingIO Agent",
            instructions="You have access to GrowingIO tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about GrowingIO MCP in OpenAI Agents SDK

Install the package and configure the HTTP streamable GrowingIO MCP Server inside your OpenAI Agents SDK environment. Pass the endpoint URL to the server parameters and register it directly.

No, this server only reads GrowingIO data like `list_events` and `list_variables` into your agent environment. It does not support write actions or schema modifications.

The OpenAI Agents SDK automatically inspects the GrowingIO server when it starts up, registering tools like `list_log_sources`. This makes them instantly available to your agents without manual setup.

No, the server provides the JSON schemas so your agent knows exactly how to query `get_project_info`. The schemas are auto-discovered at runtime.

Your GrowingIO segments and event logs are protected by Vinkius sandbox isolation, meaning `get_segment_users` queries run in an ephemeral OpenAI Agents SDK session.

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