Mobile Action MCP Server for LangChain 12 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Mobile Action 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({
"mobile-action": {
"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 Mobile Action, 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 Mobile Action MCP Server
Connect your Mobile Action account to your AI agent and gain a competitive edge in the app stores through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Mobile Action through native MCP adapters. Connect 12 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
- ASO Intelligence — Track keyword rankings and history for iOS and Android apps across different countries.
- Market Estimations — Access estimated downloads, revenue, and active users for any app in the store.
- Ad Intelligence — Analyze ad creatives and distribution strategies used by your competitors.
- Keyword Expansion — Get related keyword suggestions to optimize your store listing.
- App Discovery — Search for apps and monitor top charts by category and country.
- Reputation Monitoring — Retrieve app reviews and historical rating performance.
The Mobile Action MCP Server exposes 12 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 Mobile Action to LangChain via MCP
Follow these steps to integrate the Mobile Action 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 12 tools from Mobile Action via MCP
Why Use LangChain with the Mobile Action MCP Server
LangChain provides unique advantages when paired with Mobile Action through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Mobile Action 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 Mobile Action queries for multi-turn workflows
Mobile Action + LangChain Use Cases
Practical scenarios where LangChain combined with the Mobile Action MCP Server delivers measurable value.
RAG with live data: combine Mobile Action tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Mobile Action, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Mobile Action tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Mobile Action tool call, measure latency, and optimize your agent's performance
Mobile Action MCP Tools for LangChain (12)
These 12 tools become available when you connect Mobile Action to LangChain via MCP:
get_ad_creatives
Get app advertising creatives
get_app_info
Get detailed app store information
get_app_reviews
Get app customer reviews
get_cpp_details
Get Custom Product Page details
get_keyword_ranking
Get keyword ranking history
get_market_estimations
Get download and revenue estimations
get_rating_history
Get app rating history
get_related_keywords
Get related ASO keywords
get_top_apps
Get top charts by category
get_tracked_apps
List apps tracked in the dashboard
get_tracked_keywords
List keywords tracked in the dashboard
search_apps
Search for apps in store
Example Prompts for Mobile Action in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Mobile Action immediately.
"Show me the top 10 Finance apps in the US App Store."
"What is the keyword ranking history for 'fitness' in the UK for app ID 123456789?"
"Search for news related apps in Brazil on Android."
Troubleshooting Mobile Action MCP Server with LangChain
Common issues when connecting Mobile Action to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersMobile Action + LangChain FAQ
Common questions about integrating Mobile Action 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 Mobile Action 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 Mobile Action to LangChain
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.