How to Use the AppFollow MCP in OpenAI Agents SDK

Monitor your app store performance directly within OpenAI Agents SDK with our AppFollow MCP Server.

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Connect AppFollow MCP to OpenAI Agents SDK

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

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Real-time rank and rating tracking

Call `get_rankings` to watch where your app sits in the charts. Your agent pulls this data instantly so you can track shifts without opening a browser. `get_ratings` gives you the current star distribution. You get a precise count of how many users gave you five stars versus one.

Automated review analysis for OpenAI Agents SDK

Feed `list_reviews` into your agent to process feedback as it arrives. You stop guessing what users think and start reading their actual comments. `get_reviews_ai_summary` condenses hundreds of posts into a few bullet points. This keeps your agent updated on user sentiment without the noise.

Historical performance monitoring

Query `get_ratings_history` to see how your score changed over the last month. You'll spot trends that manual checks miss entirely. `get_app_info` confirms the metadata for any specific product. Your agent maintains an accurate catalog of every app you manage.

Setup guide

Set up AppFollow 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 AppFollow tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate AppFollow 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="AppFollow Agent",
            instructions="You have access to AppFollow tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AppFollow. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about AppFollow MCP in OpenAI Agents SDK

Use the MCPServerStreamableHttp class to point your agent at the Vinkius endpoint. The SDK discovers all eight tools automatically. It's a plug-and-play setup for your production pipeline.

Yes. The SDK runs these tools through built-in guardrails before any execution occurs. Your agent only interacts with the AppFollow API through these strictly validated channels.

It does. Set cacheToolsList to True to keep your agent snappy when fetching heavy review summaries. This prevents unnecessary overhead during repetitive tasks.

Your agent receives the raw response directly from the server. Because the tools are handled via the standard protocol, you get exactly what the AppFollow backend returns.

We isolate your AppFollow credentials in a zero-trust sandbox. Only your specific client session can trigger tools like list_reviews, ensuring your private store data stays out of the public cloud.

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