Liftoff MCP Server for LangChain 7 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Liftoff 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({
"liftoff": {
"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 Liftoff, 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 Liftoff MCP Server
Connect your Liftoff (formerly Vungle) advertising account to any AI agent to automate your mobile marketing analytics and reporting. This MCP server enables your agent to list campaigns, request detailed performance reports, and monitor spend in real-time directly from natural language interfaces.
LangChain's ecosystem of 500+ components combines seamlessly with Liftoff through native MCP adapters. Connect 7 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
- Campaign Oversight — List all apps, campaigns, and creative assets to map performance IDs to readable names
- Automated Reporting — Request asynchronous performance reports (v1) for deep dives into historical data
- Real-time Spend — Query synchronous spend and install metrics (v2) for immediate operational awareness
- Lifecycle Tracking — Monitor the status of report generation and download completed results effortlessly
- Dimension Filtering — Filter your data by app, campaign, country, and platform to identify growth opportunities
The Liftoff MCP Server exposes 7 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 Liftoff to LangChain via MCP
Follow these steps to integrate the Liftoff 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 7 tools from Liftoff via MCP
Why Use LangChain with the Liftoff MCP Server
LangChain provides unique advantages when paired with Liftoff through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Liftoff 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 Liftoff queries for multi-turn workflows
Liftoff + LangChain Use Cases
Practical scenarios where LangChain combined with the Liftoff MCP Server delivers measurable value.
RAG with live data: combine Liftoff tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Liftoff, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Liftoff tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Liftoff tool call, measure latency, and optimize your agent's performance
Liftoff MCP Tools for LangChain (7)
These 7 tools become available when you connect Liftoff to LangChain via MCP:
download_report_results
Retrieve the data for a completed report
get_report_status
Check the status of a requested report
get_spend_metrics
Get a synchronous spend and performance report (v2)
list_liftoff_apps
List all applications in your Liftoff account
list_liftoff_campaigns
List all advertising campaigns
list_liftoff_creatives
List all creative assets
request_performance_report
Requires start and end dates. Initialize a performance report request (v1)
Example Prompts for Liftoff in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Liftoff immediately.
"List all active advertising campaigns in Liftoff."
"Show recent spend and installs for campaign ID 'camp-123'."
"Request a performance report for the month of July in JSON format."
Troubleshooting Liftoff MCP Server with LangChain
Common issues when connecting Liftoff to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersLiftoff + LangChain FAQ
Common questions about integrating Liftoff 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 Liftoff 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 Liftoff to LangChain
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.