Microsoft App Store MCP Server for LangChain 8 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Microsoft App Store through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"microsoft-app-store": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Microsoft App Store, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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 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.
LangChain's ecosystem of 500+ components combines seamlessly with Microsoft App Store through native MCP adapters. Connect 8 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Microsoft App Store MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 8 tools from Microsoft App Store via MCP
Why Use LangChain with the Microsoft App Store MCP Server
LangChain provides unique advantages when paired with Microsoft App Store through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Microsoft App Store MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Microsoft App Store queries for multi-turn workflows
Microsoft App Store + LangChain Use Cases
Practical scenarios where LangChain combined with the Microsoft App Store MCP Server delivers measurable value.
RAG with live data: combine Microsoft App Store tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Microsoft App Store, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Microsoft App Store tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Microsoft App Store tool call, measure latency, and optimize your agent's performance
Microsoft App Store MCP Tools for LangChain (8)
These 8 tools become available when you connect Microsoft App Store to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Microsoft App Store to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersMicrosoft App Store + LangChain FAQ
Common questions about integrating Microsoft App Store MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect Microsoft App Store 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 Microsoft App Store to LangChain
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.