Can I reply to user reviews with this integration?

Yes! You can use the `reply_to_review` tool. Simply provide the Review ID and the text you want to reply with, and the AI agent will post it to the Google Play Store on your behalf.

How do I check if a user's subscription is active?

Use the `get_subscription_purchase` tool with the Subscription ID (SKU) and the user's purchase token. The AI will return the full status of their subscription.

Can I issue refunds for subscriptions?

Yes, you can use the `refund_subscription` tool by providing the Subscription ID and the purchase token.

Google Play Developer MCP Server for Pydantic AI 12 tools — connect in under 2 minutes

Name: Google Play Developer
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 12 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Google Play Developer 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 Google Play Developer "
            "(12 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Google Play Developer?"
    )
    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 Google Play Developer MCP Server

Connect your Google Play Developer account to your AI agent and streamline your Android app management. Use natural language to monitor user reviews, manage subscriptions, and verify in-app purchases directly from your workflow.

Pydantic AI validates every Google Play Developer tool response against typed schemas, catching data inconsistencies at build time. Connect 12 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

Review Management — Fetch recent reviews, read specific feedback, and post replies directly from the chat
Subscription Tracking — Check the status of user subscriptions, issue refunds, or defer billing dates effortlessly
In-App Purchases — Verify, acknowledge, and consume in-app product purchases
Product Catalog — List all available in-app products and retrieve specific SKU details

The Google Play Developer MCP Server exposes 12 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 Google Play Developer to Pydantic AI via MCP

Follow these steps to integrate the Google Play Developer 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 12 tools from Google Play Developer with type-safe schemas

Why Use Pydantic AI with the Google Play Developer MCP Server

Pydantic AI provides unique advantages when paired with Google Play Developer 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 Google Play Developer integration code

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

Dependency injection system cleanly separates your Google Play Developer connection logic from agent behavior for testable, maintainable code

Google Play Developer + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Google Play Developer MCP Server delivers measurable value.

Type-safe data pipelines: query Google Play Developer with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Google Play Developer tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Google Play Developer and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Google Play Developer responses and write comprehensive agent tests

Google Play Developer MCP Tools for Pydantic AI (12)

These 12 tools become available when you connect Google Play Developer to Pydantic AI via MCP:

acknowledge_product_purchase

Acknowledge a product purchase

cancel_subscription

Cancel a user subscription

consume_product_purchase

Consume a product purchase

defer_subscription

Defer a subscription billing date

get_inapp_product

Get details for a specific in-app product

get_product_purchase

Check an in-app product purchase status

get_review

Get a specific review by ID

get_subscription_purchase

Check the status of a subscription purchase

list_inapp_products

List in-app products for the app

list_reviews

List recent user reviews for the app

refund_subscription

Refund a subscription

reply_to_review

Reply to a user review

Example Prompts for Google Play Developer in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Google Play Developer immediately.

"Show me the 5 most recent reviews for our app."

"Check the status of subscription token 'abc123xyz' for SKU 'pro_monthly'."

"Refund the subscription linked to token 'refund789' immediately."

Troubleshooting Google Play Developer MCP Server with Pydantic AI

Common issues when connecting Google Play Developer to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Google Play Developer + Pydantic AI FAQ

Common questions about integrating Google Play Developer 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 Google Play Developer MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.