TopOn / Mobvista MCP Server for LangChain 8 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect TopOn / Mobvista 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({
"topon-mobvista": {
"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 TopOn / Mobvista, 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 TopOn / Mobvista MCP Server
Empower your AI agent to orchestrate your mobile game monetization with TopOn / Mobvista, the leading global platforms for ad mediation and programmatic buying. By connecting TopOn and Mobvista (Mintegral) to your agent, you transform complex performance auditing and waterfall management into a natural conversation. Your agent can instantly list your apps, retrieve real-time revenue reports, analyze eCPM trends, and even audit your placement waterfalls for optimization opportunities without you needing to navigate multiple dashboards. Whether you are an indie developer or part of a large studio, your agent acts as a real-time monetization manager, ensuring your ad revenue is always maximized.
LangChain's ecosystem of 500+ components combines seamlessly with TopOn / Mobvista 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
- Unified Reporting — Get performance summaries and detailed revenue reports from both TopOn and Mintegral instantly.
- Waterfall Management — Browse ad placements and audit waterfall configurations to identify low-performing ad networks.
- Performance Auditing — Check the 'health' of your placements and receive AI-driven recommendations for waterfall optimization.
- Campaign Insights — Monitor Mintegral offers and app-level statistics to track your user acquisition and monetization synergy.
- Revenue Trends — Visualize daily revenue trends and eCPM fluctuations to stay on top of market changes.
The TopOn / Mobvista 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 TopOn / Mobvista to LangChain via MCP
Follow these steps to integrate the TopOn / Mobvista 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 TopOn / Mobvista via MCP
Why Use LangChain with the TopOn / Mobvista MCP Server
LangChain provides unique advantages when paired with TopOn / Mobvista through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine TopOn / Mobvista 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 TopOn / Mobvista queries for multi-turn workflows
TopOn / Mobvista + LangChain Use Cases
Practical scenarios where LangChain combined with the TopOn / Mobvista MCP Server delivers measurable value.
RAG with live data: combine TopOn / Mobvista tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query TopOn / Mobvista, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain TopOn / Mobvista tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every TopOn / Mobvista tool call, measure latency, and optimize your agent's performance
TopOn / Mobvista MCP Tools for LangChain (8)
These 8 tools become available when you connect TopOn / Mobvista to LangChain via MCP:
get_mintegral_app_stats
Get Mintegral app statistics
get_mintegral_reporting
Get Mintegral performance reporting
get_monetization_summary
Get overall monetization summary
get_topon_reporting
Get TopOn performance reporting
get_topon_waterfall
Get TopOn placement waterfall
list_mintegral_offers
List Mintegral offers
list_topon_apps
List TopOn applications
list_topon_placements
List TopOn ad placements
Example Prompts for TopOn / Mobvista in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with TopOn / Mobvista immediately.
"Show my monetization summary for today."
"Check the waterfall health for placement 'ad-unit-772'."
"List my ad placements for app 'Galaxy Quest'."
Troubleshooting TopOn / Mobvista MCP Server with LangChain
Common issues when connecting TopOn / Mobvista to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersTopOn / Mobvista + LangChain FAQ
Common questions about integrating TopOn / Mobvista 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 TopOn / Mobvista 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 TopOn / Mobvista to LangChain
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.