AppGallery Connect MCP Server for OpenAI Agents SDK 11 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect AppGallery Connect through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="AppGallery Connect Assistant",
instructions=(
"You help users interact with AppGallery Connect. "
"You have access to 11 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from AppGallery Connect"
)
print(result.final_output)
asyncio.run(main())
* 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 AppGallery Connect MCP Server
Connect AppGallery Connect to your AI agent and manage your mobile app lifecycle through natural conversation.
The OpenAI Agents SDK auto-discovers all 11 tools from AppGallery Connect through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries AppGallery Connect, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- App Management — List all apps, view details, and check localization settings
- Build Submission — Get upload URLs and submit builds for review with status tracking
- Analytics — Access download stats, installation metrics, and performance data
- User Feedback — Read ratings, browse user comments, and reply directly
- Review Pipeline — Track submission status through the moderation process
The AppGallery Connect MCP Server exposes 11 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 AppGallery Connect to OpenAI Agents SDK via MCP
Follow these steps to integrate the AppGallery Connect 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 11 tools from AppGallery Connect
Why Use OpenAI Agents SDK with the AppGallery Connect MCP Server
OpenAI Agents SDK provides unique advantages when paired with AppGallery Connect 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
AppGallery Connect + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the AppGallery Connect MCP Server delivers measurable value.
Automated workflows: build agents that query AppGallery Connect, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries AppGallery Connect, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through AppGallery Connect tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query AppGallery Connect to resolve tickets, look up records, and update statuses without human intervention
AppGallery Connect MCP Tools for OpenAI Agents SDK (11)
These 11 tools become available when you connect AppGallery Connect to OpenAI Agents SDK via MCP:
get_app_info
The appId can be found via list_apps. Get detailed information for a specific application
get_app_language_info
g. "en-US", "zh-CN", "pt-BR"). Get localized app information for a specific language
get_comments
Get user comments and reviews for an application
get_download_stats
Dates must be in YYYYMMDD format. Get download statistics for an application
get_install_stats
Dates must be in YYYYMMDD format. Get installation statistics for an application
get_rating_info
Get rating and review summary for an application
get_submission_status
Check the review status of a submitted application
get_upload_url
Specify the file suffix (e.g. "apk", "png"). Get a pre-signed upload URL for app binaries or assets
list_apps
List all applications in the AppGallery Connect account
reply_to_comment
Use get_comments to find comment IDs. Reply to a user comment on the AppGallery
submit_for_review
The app must have all required metadata and at least one valid binary uploaded. Submit an application for review and publication
Example Prompts for AppGallery Connect in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with AppGallery Connect immediately.
"Show download stats for my top app this month."
Troubleshooting AppGallery Connect MCP Server with OpenAI Agents SDK
Common issues when connecting AppGallery Connect to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
AppGallery Connect + OpenAI Agents SDK FAQ
Common questions about integrating AppGallery Connect MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect AppGallery Connect with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect AppGallery Connect to OpenAI Agents SDK
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.