Can my AI agent rewrite my app description using the keyword suggestions?

Yes. This is the perfect use case. First, ask the agent to fetch keyword suggestions and volume for your App ID. Then, in the same prompt, command the LLM to rewrite your 'App Store description' naturally injecting the top 5 high-KEI keywords. You get a fully optimized, data-backed description in one go.

How do I check a competitor’s downloads secretly?

Just tell the agent to 'Get download estimates' and provide the target app ID (either Google package name or Apple ID). The agent uses AppTweak's proprietary machine learning algorithms to return a calculated daily or monthly download figure for that specific competitor without alerting them.

Are keyword volumes valid for non-US countries?

Yes. Most AppTweak query tools require a `country` parameter. You can tell your agent to 'Check keyword rank in Brazil (br)' or 'France (fr)'. The AI automatically routes the localization tag so you get data isolated precisely for your target demographic.

AppTweak MCP Server for Google ADK 9 tools — connect in under 2 minutes

Name: AppTweak
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 9 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add AppTweak as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

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

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="apptweak_agent",
    instruction=(
        "You help users interact with AppTweak "
        "using 9 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 AppTweak MCP Server

Connect your AppTweak account to your AI agent to unlock enterprise-grade App Store Optimization (ASO) directly from your chat workflow. Skip the heavy dashboards and ask your agent to fetch keyword intelligence, track competitor movements, and monitor your app's reviews in real time.

Google ADK natively supports AppTweak as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 9 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

App Intelligence — Retrieve full app metadata, category histories, and estimated downloads privately across iOS and Android stores
Keyword Strategy — Request smart keyword suggestions, analyze search volumes, and track exact ranking positions for any given keyword
Review Sentiment — Fetch direct user reviews and analyze aggregated sentiment to identify trending feature requests or emerging bugs
Market Analysis — Pull the "Top Charts" of any category to identify leading apps and emerging market competitors instantly

The AppTweak MCP Server exposes 9 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 AppTweak to Google ADK via MCP

Follow these steps to integrate the AppTweak 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 9 tools from AppTweak via MCP

Why Use Google ADK with the AppTweak MCP Server

Google ADK provides unique advantages when paired with AppTweak 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 AppTweak

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 AppTweak tools with BigQuery, Vertex AI, and Cloud Functions

AppTweak + Google ADK Use Cases

Practical scenarios where Google ADK combined with the AppTweak MCP Server delivers measurable value.

Enterprise data agents: ADK agents query AppTweak and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine AppTweak tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query AppTweak regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including AppTweak

AppTweak MCP Tools for Google ADK (9)

These 9 tools become available when you connect AppTweak to Google ADK via MCP:

get_app_metadata

Provide either the Apple App Store numeric ID or the Google Play Store package name. Identifies core app properties and performance indicators. Get complete app metadata from AppTweak including title, developer, rating, reviews, category, and version

get_app_reviews

Valuable for sentiment analysis, feature requests, and bug reports from actual users. Get app reviews from users via AppTweak

get_category_rankings

Helps diagnose the impact of feature updates or acquisition campaigns. Get app category ranking history from AppTweak

get_download_estimates

Essential for competitor analysis. Get estimated download numbers for an app from AppTweak

get_keyword_rankings

Get keyword rankings for an app on AppTweak (position, volume, KEI)

get_keyword_suggestions

Crucial for optimizing organic search visibility on App Store and Google Play. Get ASO keyword suggestions for an app on AppTweak

get_keyword_volume

Useful to find "sweet spot" keywords with high volume and low difficulty. Get search volume and difficulty for a specific AppTweak keyword

get_review_stats

Good for high-level app health. Get review statistics from AppTweak (rating distribution, sentiment)

get_top_charts

Get top charts for a category via AppTweak (top free/paid/grossing apps)

Example Prompts for AppTweak in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with AppTweak immediately.

"Get the general App Store metadata for Spotify (ID: 324684580)."

"Find 5 good keyword suggestions for a 'Habit Tracker' app and get their volume and difficulty."

"Can you summarize the sentiment of the last 20 Google Play reviews for Tinder?"

Troubleshooting AppTweak MCP Server with Google ADK

Common issues when connecting AppTweak to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

AppTweak + Google ADK FAQ

Common questions about integrating AppTweak MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.