AppGallery Connect MCP Server for LlamaIndex 11 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add AppGallery Connect as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
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 AppGallery Connect. "
"You have 11 tools available."
),
)
response = await agent.run(
"What tools are available in AppGallery Connect?"
)
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 AppGallery Connect MCP Server
Connect AppGallery Connect to your AI agent and manage your mobile app lifecycle through natural conversation.
LlamaIndex agents combine AppGallery Connect tool responses with indexed documents for comprehensive, grounded answers. Connect 11 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 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 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 AppGallery Connect to LlamaIndex via MCP
Follow these steps to integrate the AppGallery Connect 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 11 tools from AppGallery Connect
Why Use LlamaIndex with the AppGallery Connect MCP Server
LlamaIndex provides unique advantages when paired with AppGallery Connect through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine AppGallery Connect tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain AppGallery Connect tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query AppGallery Connect, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what AppGallery Connect tools were called, what data was returned, and how it influenced the final answer
AppGallery Connect + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the AppGallery Connect MCP Server delivers measurable value.
Hybrid search: combine AppGallery Connect real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query AppGallery Connect 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 AppGallery Connect for fresh data
Analytical workflows: chain AppGallery Connect queries with LlamaIndex's data connectors to build multi-source analytical reports
AppGallery Connect MCP Tools for LlamaIndex (11)
These 11 tools become available when you connect AppGallery Connect to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with AppGallery Connect immediately.
"Show download stats for my top app this month."
Troubleshooting AppGallery Connect MCP Server with LlamaIndex
Common issues when connecting AppGallery Connect to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpAppGallery Connect + LlamaIndex FAQ
Common questions about integrating AppGallery Connect 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 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 LlamaIndex
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.