How to Use the Mobile Action MCP in OpenAI Agents SDK

Feed real-time app store data directly into OpenAI Agents SDK workflows to automate keyword research and ad creative audits.

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Connect Mobile Action MCP to OpenAI Agents SDK

Create your Vinkius account to connect Mobile Action 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 Mobile Action with OpenAI Agents SDK

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Track keyword changes with OpenAI Agents SDK

The `get_keyword_ranking` tool feeds historical search visibility data directly into your agent pipeline. Your agent monitors ranking shifts over time and triggers automated alerts when a competitor gains ground. You configure this by passing the MCP server directly into the Agent constructor. This setup allows your agent to run `get_related_keywords` autonomously to find new search terms without manual intervention.

Analyze competitor ad creatives automatically

The `get_ad_creatives` tool pulls active visual assets and copy from rival mobile campaigns directly into your OpenAI Agents SDK runtime. Your agent inspects these assets to identify messaging trends and design patterns. By setting the cache option to true, your agent quickly compares these creatives against performance benchmarks. This lets you run high-volume creative audits across multiple app stores without hitting rate limits.

Audit Custom Product Pages via MCP Server

The `get_cpp_details` tool extracts metadata and configuration details for tailored App Store landing pages. Your agent reads these details to verify that paid traffic lands on the correct, optimized layout. Integrating this MCP Server into your OpenAI Agents SDK flow ensures your marketing team gets instant alerts when custom pages drift from brand guidelines. You get clean, structured data for immediate validation.

Setup guide

Set up Mobile Action 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 Mobile Action tools at runtime.
3

Create your Agent

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

Run the agent

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

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Mobile Action. 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.

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Common questions about Mobile Action MCP in OpenAI Agents SDK

Install the SDK first, then initialize the MCPServerStreamableHttp class with your Vinkius endpoint. Pass this server object into your Agent constructor to let the agent auto-discover the tools.

Yes, the SDK handles concurrent async calls to endpoints like `get_market_estimations` efficiently. Your agent can pull download data for fifty apps at once without blocking the main loop.

The SDK automatically registers tool schemas and validates agent arguments before sending requests to tools like `get_app_info`. This prevents malformed app IDs from reaching the external API.

The SDK catches the HTTP error and passes the status back to your agent. You can write custom retry logic or let the agent back off and try the `search_apps` query again later.

Vinkius manages your credential storage in an isolated sandbox, so your OpenAI Agents SDK code never exposes raw API keys. The server only handles app store metadata and marketing metrics, keeping your internal database completely separate.

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