How do I find my GrowingIO Project ID and Client ID?

Log in to your GrowingIO portal, go to [Project Configuration] -> [Project Info]. You will find your Project ID (ai) and Client ID (Public Key) there.

Where do I generate the API Token?

In your GrowingIO portal, navigate to [Project Configuration] -> [API Token Management] to generate a long-term API Token for this server.

Can I query quantitative metrics through the agent?

Yes. Use the `get_metrics` tool with a JSON query definition. This allows your agent to retrieve specific data points like DAU, retention rates, or custom conversion metrics.

GrowingIO MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: GrowingIO
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect GrowingIO through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="GrowingIO Assistant",
            instructions=(
                "You help users interact with GrowingIO. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from GrowingIO"
        )
        print(result.final_output)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

About GrowingIO MCP Server

Empower your AI agent to orchestrate your product analytics and user behavioral data with GrowingIO, the premier analytical platform in China. By connecting GrowingIO to your agent, you transform complex event tracking, user segmentation, and metric analysis into a natural conversation. Your agent can instantly list tracked events, retrieve detailed user segment metadata, monitor conversion funnels, and execute quantitative metric queries without you ever needing to navigate the comprehensive GrowingIO web interface. Whether you are conducting a product health audit or monitoring real-time campaign performance, your agent acts as a real-time data analyst assistant, keeping your product data accurate and your growth moving.

The OpenAI Agents SDK auto-discovers all 10 tools from GrowingIO through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries GrowingIO, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Event Orchestration — List and retrieve detailed metadata for all tracked behavioral events in your project.
User Segmentation — Browse and monitor user segments to identify high-value cohorts and behavioral patterns.
Metric Querying — Execute quantitative queries to retrieve specific performance metrics via natural language.
Funnel Auditing — Retrieve detailed configuration and data for conversion funnels to identify drop-off points.
Campaign Insights — Browse tracked advertising campaigns and identify successful growth drivers.

The GrowingIO MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect GrowingIO to OpenAI Agents SDK via MCP

Follow these steps to integrate the GrowingIO MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 10 tools from GrowingIO

Why Use OpenAI Agents SDK with the GrowingIO MCP Server

OpenAI Agents SDK provides unique advantages when paired with GrowingIO through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

GrowingIO + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the GrowingIO MCP Server delivers measurable value.

Automated workflows: build agents that query GrowingIO, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries GrowingIO, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through GrowingIO tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query GrowingIO to resolve tickets, look up records, and update statuses without human intervention

GrowingIO MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect GrowingIO to OpenAI Agents SDK via MCP:

get_event

Get event details

get_funnel

Get conversion funnel details

get_metrics

Query project metrics

get_project_info

Get project metadata

get_segment_users

Get users in a segment

list_ads

List advertising campaigns

list_events

List project events

list_log_sources

). List data log sources

list_segments

List user segments

list_variables

List tracked variables

Example Prompts for GrowingIO in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with GrowingIO immediately.

"List all user segments in GrowingIO."

"Show me the conversion funnel for 'Checkout Flow'."

"Query the DAU for the last 7 days."

Troubleshooting GrowingIO MCP Server with OpenAI Agents SDK

Common issues when connecting GrowingIO to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

GrowingIO + OpenAI Agents SDK FAQ

Common questions about integrating GrowingIO MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.