AppFollow MCP Server for Google ADK 8 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add AppFollow as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="appfollow_agent",
instruction=(
"You help users interact with AppFollow "
"using 8 available tools."
),
tools=[mcp_tools],
)
* 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 AppFollow MCP Server
The AppFollow MCP Server brings powerful app store intelligence directly to your AI agent. Monitor your app's reputation, track your position in the charts, and analyze user feedback across all major app stores with ease.
Google ADK natively supports AppFollow as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 8 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
Key Features
- Review Management — List and search for user reviews across different countries and languages.
- AI & Sentiment Analysis — Get AI-generated summaries of user feedback and analyze the overall sentiment of your reviews.
- Ranking Tracker — Monitor your app's performance in store charts and track daily changes in visibility.
- Rating Metrics — Access current star rating distributions and historical rating trends over time.
- App Information — Retrieve detailed metadata and store information for any app on the market.
- Competitive Benchmarking — Compare your app's performance against competitors using global store data.
Benefits for Teams
- Customer Support — Quickly identify common user issues and bugs reported in reviews.
- Product Managers — Use AI summaries to understand user sentiment and prioritize feature requests.
- Growth & Marketing — Track rankings and ratings to measure the effectiveness of your ASO and UA efforts.
The AppFollow MCP Server exposes 8 tools through the Vinkius. Connect it to Google ADK 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 AppFollow to Google ADK via MCP
Follow these steps to integrate the AppFollow MCP Server with Google ADK.
Install Google ADK
Run pip install google-adk
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Create the agent
Save the code above and integrate into your ADK workflow
Explore tools
The agent will discover 8 tools from AppFollow via MCP
Why Use Google ADK with the AppFollow MCP Server
Google ADK provides unique advantages when paired with AppFollow through the Model Context Protocol.
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with AppFollow
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
Seamless integration with Google Cloud services means you can combine AppFollow tools with BigQuery, Vertex AI, and Cloud Functions
AppFollow + Google ADK Use Cases
Practical scenarios where Google ADK combined with the AppFollow MCP Server delivers measurable value.
Enterprise data agents: ADK agents query AppFollow and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine AppFollow tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query AppFollow regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including AppFollow
AppFollow MCP Tools for Google ADK (8)
These 8 tools become available when you connect AppFollow to Google ADK via MCP:
get_account_check
Verify AppFollow account connection
get_app_info
Retrieve basic information about an app from AppFollow
get_rankings
Track app rankings in store charts
get_ratings
Get current star rating distribution
get_ratings_history
Get historical rating data over a period of time
get_reviews_ai_summary
Get an AI-generated summary of recent user reviews
get_reviews_summary
Get a summary of reviews and average rating
list_reviews
List app reviews for a specific app store product
Example Prompts for AppFollow in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with AppFollow immediately.
"What are the most recent 1-star reviews for my app?"
"Give me an AI summary of user feedback for 'com.example.app'."
"Where does my app rank in the 'Health & Fitness' category in the US today?"
Troubleshooting AppFollow MCP Server with Google ADK
Common issues when connecting AppFollow to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkAppFollow + Google ADK FAQ
Common questions about integrating AppFollow MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
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Connect AppFollow to Google ADK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.