Digital Turbine MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Digital Turbine 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({
"digital-turbine": {
"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 Digital Turbine, 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 Digital Turbine MCP Server
Integrate Digital Turbine, the leading independent mobile growth platform, directly into your AI workflow. Manage your user acquisition campaigns, monitor app monetization performance, and track real-time revenue and install data using natural language.
LangChain's ecosystem of 500+ components combines seamlessly with Digital Turbine through native MCP adapters. Connect 10 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 and retrieve detailed settings and performance metrics for all your growth and acquisition campaigns.
- App Monetization Tracking — Monitor your monetized mobile apps, including ad unit settings, floor prices, and active placements.
- Performance Analytics — Access high-level summaries of impressions, installs, and click-through rates (CTR).
- Revenue Reporting — Retrieve detailed financial telemetry for specific date ranges across your mobile portfolio.
The Digital Turbine MCP Server exposes 10 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 Digital Turbine to LangChain via MCP
Follow these steps to integrate the Digital Turbine 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 10 tools from Digital Turbine via MCP
Why Use LangChain with the Digital Turbine MCP Server
LangChain provides unique advantages when paired with Digital Turbine through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Digital Turbine 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 Digital Turbine queries for multi-turn workflows
Digital Turbine + LangChain Use Cases
Practical scenarios where LangChain combined with the Digital Turbine MCP Server delivers measurable value.
RAG with live data: combine Digital Turbine tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Digital Turbine, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Digital Turbine tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Digital Turbine tool call, measure latency, and optimize your agent's performance
Digital Turbine MCP Tools for LangChain (10)
These 10 tools become available when you connect Digital Turbine to LangChain via MCP:
get_app_monetization_details
Get detailed monetization settings and status for a specific app
get_campaign_analytics
Get detailed settings and performance metrics for a specific campaign
get_performance_summary
Retrieve high-level performance metrics including installs and CTR
get_platform_metadata
Retrieve metadata and limits for your Digital Turbine account
get_revenue_report
Retrieve a revenue report for a specific date range
list_growth_campaigns
List all mobile growth and acquisition campaigns in your Digital Turbine account
list_high_engagement_campaigns
Identify campaigns with a CTR above a certain threshold (mock logic)
list_monetized_apps
List all mobile applications integrated for monetization
list_top_performing_apps
Identify the apps with the highest revenue in your account (mock logic)
search_campaigns_by_name
Search for a campaign using a name keyword
Example Prompts for Digital Turbine in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Digital Turbine immediately.
"List all my active UA campaigns."
"Show me the revenue report for 'Game App X' from last week."
"What is the average CTR for our 'Summer Sale' campaign?"
Troubleshooting Digital Turbine MCP Server with LangChain
Common issues when connecting Digital Turbine to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersDigital Turbine + LangChain FAQ
Common questions about integrating Digital Turbine 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 Digital Turbine 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 Digital Turbine to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
