AppGallery Connect MCP Server for LangChain 11 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect AppGallery Connect through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
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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({
"appgallery-connect": {
"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 AppGallery Connect, 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 AppGallery Connect MCP Server
Connect AppGallery Connect to your AI agent and manage your mobile app lifecycle through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with AppGallery Connect through native MCP adapters. Connect 11 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 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 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 AppGallery Connect to LangChain via MCP
Follow these steps to integrate the AppGallery Connect 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 11 tools from AppGallery Connect via MCP
Why Use LangChain with the AppGallery Connect MCP Server
LangChain provides unique advantages when paired with AppGallery Connect through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine AppGallery Connect 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 AppGallery Connect queries for multi-turn workflows
AppGallery Connect + LangChain Use Cases
Practical scenarios where LangChain combined with the AppGallery Connect MCP Server delivers measurable value.
RAG with live data: combine AppGallery Connect tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query AppGallery Connect, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain AppGallery Connect tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every AppGallery Connect tool call, measure latency, and optimize your agent's performance
AppGallery Connect MCP Tools for LangChain (11)
These 11 tools become available when you connect AppGallery Connect to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain agent to start working with AppGallery Connect immediately.
"Show download stats for my top app this month."
Troubleshooting AppGallery Connect MCP Server with LangChain
Common issues when connecting AppGallery Connect to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersAppGallery Connect + LangChain FAQ
Common questions about integrating AppGallery Connect 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 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 LangChain
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.