Digital Turbine MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Digital Turbine as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Digital Turbine. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Digital Turbine?"
)
print(response)
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.
LlamaIndex agents combine Digital Turbine tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Digital Turbine MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Digital Turbine
Why Use LlamaIndex with the Digital Turbine MCP Server
LlamaIndex provides unique advantages when paired with Digital Turbine through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Digital Turbine tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Digital Turbine tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Digital Turbine, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Digital Turbine tools were called, what data was returned, and how it influenced the final answer
Digital Turbine + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Digital Turbine MCP Server delivers measurable value.
Hybrid search: combine Digital Turbine real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Digital Turbine to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Digital Turbine for fresh data
Analytical workflows: chain Digital Turbine queries with LlamaIndex's data connectors to build multi-source analytical reports
Digital Turbine MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Digital Turbine to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Digital Turbine to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpDigital Turbine + LlamaIndex FAQ
Common questions about integrating Digital Turbine MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.