How do I create the Azure AD application?

Go to Partner Center > Account settings > User management > Azure AD applications to associate an application and generate a secret.

Which permissions are required?

The application must be associated with your Partner Center account and granted the 'Manager' or 'Developer' role.

Microsoft App Store MCP Server for Pydantic AI 8 tools — connect in under 2 minutes

Name: Microsoft App Store
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 8 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Microsoft App Store through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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 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 Microsoft App Store "
            "(8 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Microsoft App Store?"
    )
    print(result.data)

asyncio.run(main())

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* 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 Microsoft App Store MCP Server

Connect your Microsoft Store developer account to automate app management tasks. This server interfaces with the Microsoft Store Submission API for real-time visibility and control.

Pydantic AI validates every Microsoft App Store tool response against typed schemas, catching data inconsistencies at build time. Connect 8 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 Inventory — List and inspect all applications registered in your account
Submission Tracking — Monitor the status of pending or completed app submissions
Add-on Management — List in-app products and their metadata
Flight Coordination — View package flights for beta testing or staged rollouts

The Microsoft App Store MCP Server exposes 8 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 Microsoft App Store to Pydantic AI via MCP

Follow these steps to integrate the Microsoft App Store 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 8 tools from Microsoft App Store with type-safe schemas

Why Use Pydantic AI with the Microsoft App Store MCP Server

Pydantic AI provides unique advantages when paired with Microsoft App Store 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 Microsoft App Store integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Microsoft App Store connection logic from agent behavior for testable, maintainable code

Microsoft App Store + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Microsoft App Store MCP Server delivers measurable value.

Type-safe data pipelines: query Microsoft App Store with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Microsoft App Store tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Microsoft App Store and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Microsoft App Store responses and write comprehensive agent tests

Microsoft App Store MCP Tools for Pydantic AI (8)

These 8 tools become available when you connect Microsoft App Store to Pydantic AI via MCP:

get_addon

Get details for a specific add-on

get_application

Get details for a specific application

get_flight

Get details for a specific package flight

get_submission

Get details for a specific submission

list_addons

List add-ons for an application

list_applications

List all applications in your Microsoft Store account

list_flights

List package flights for an application

list_submissions

List submissions for an application

Example Prompts for Microsoft App Store in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Microsoft App Store immediately.

"List all my Microsoft Store apps."

"What is the status of the latest submission for 'TaskMaster'?"

Troubleshooting Microsoft App Store MCP Server with Pydantic AI

Common issues when connecting Microsoft App Store to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Microsoft App Store + Pydantic AI FAQ

Common questions about integrating Microsoft App Store MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an 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?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Microsoft App Store MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.