Microsoft App Store MCP Server for LlamaIndex 8 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Microsoft App Store as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Microsoft App Store. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in Microsoft App Store?"
)
print(response)
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.
LlamaIndex agents combine Microsoft App Store tool responses with indexed documents for comprehensive, grounded answers. Connect 8 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Microsoft App Store MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
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
Why Use LlamaIndex with the Microsoft App Store MCP Server
LlamaIndex provides unique advantages when paired with Microsoft App Store through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Microsoft App Store tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Microsoft App Store tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Microsoft App Store, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Microsoft App Store tools were called, what data was returned, and how it influenced the final answer
Microsoft App Store + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Microsoft App Store MCP Server delivers measurable value.
Hybrid search: combine Microsoft App Store real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Microsoft App Store to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Microsoft App Store for fresh data
Analytical workflows: chain Microsoft App Store queries with LlamaIndex's data connectors to build multi-source analytical reports
Microsoft App Store MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect Microsoft App Store to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Microsoft App Store to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpMicrosoft App Store + LlamaIndex FAQ
Common questions about integrating Microsoft App Store MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.