How do I get a Digital Turbine API Key?

Log in to your Digital Turbine dashboard, navigate to the API section in your account settings, and you can generate or retrieve your unique API Key from there.

Can the agent show real-time install data?

Yes, you can use the get_performance_summary tool to retrieve the latest reported install counts and engagement metrics for your campaigns.

Does the integration support revenue reporting?

Yes, the get_revenue_report tool allows the agent to retrieve financial telemetry for specific date ranges, mapping earnings across your portolio.

Digital Turbine MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Digital Turbine
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Digital Turbine through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Digital Turbine "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Digital Turbine?"
    )
    print(result.data)

asyncio.run(main())

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* 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.

Pydantic AI validates every Digital Turbine tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the Digital Turbine MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

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 with type-safe schemas

Why Use Pydantic AI with the Digital Turbine MCP Server

Pydantic AI provides unique advantages when paired with Digital Turbine through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Digital Turbine integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Digital Turbine connection logic from agent behavior for testable, maintainable code

Digital Turbine + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Digital Turbine MCP Server delivers measurable value.

Type-safe data pipelines: query Digital Turbine with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Digital Turbine tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Digital Turbine and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Digital Turbine responses and write comprehensive agent tests

Digital Turbine MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Digital Turbine to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

Common issues when connecting Digital Turbine to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Digital Turbine + Pydantic AI FAQ

Common questions about integrating Digital Turbine MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Digital Turbine MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.