AppGallery Connect MCP Server for Pydantic AI 11 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect AppGallery Connect through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to AppGallery Connect "
"(11 tools)."
),
)
result = await agent.run(
"What tools are available in AppGallery Connect?"
)
print(result.data)
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.
Pydantic AI validates every AppGallery Connect tool response against typed schemas, catching data inconsistencies at build time. Connect 11 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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 Pydantic AI 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 Pydantic AI via MCP
Follow these steps to integrate the AppGallery Connect MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 11 tools from AppGallery Connect with type-safe schemas
Why Use Pydantic AI with the AppGallery Connect MCP Server
Pydantic AI provides unique advantages when paired with AppGallery Connect through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your AppGallery Connect integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your AppGallery Connect connection logic from agent behavior for testable, maintainable code
AppGallery Connect + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the AppGallery Connect MCP Server delivers measurable value.
Type-safe data pipelines: query AppGallery Connect with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple AppGallery Connect tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query AppGallery Connect and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock AppGallery Connect responses and write comprehensive agent tests
AppGallery Connect MCP Tools for Pydantic AI (11)
These 11 tools become available when you connect AppGallery Connect to Pydantic AI 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 Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with AppGallery Connect immediately.
"Show download stats for my top app this month."
Troubleshooting AppGallery Connect MCP Server with Pydantic AI
Common issues when connecting AppGallery Connect to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiAppGallery Connect + Pydantic AI FAQ
Common questions about integrating AppGallery Connect MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
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 Pydantic AI
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.