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Mobile Action MCP. Analyze App Store Performance, Chat Style.

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
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Works with every AI agent you already use

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Mobile Action MCP on Cursor AI Code Editor MCP Client Mobile Action MCP on Claude Desktop App MCP Integration Mobile Action MCP on OpenAI Agents SDK MCP Compatible Mobile Action MCP on Visual Studio Code MCP Extension Client Mobile Action MCP on GitHub Copilot AI Agent MCP Integration Mobile Action MCP on Google Gemini AI MCP Integration Mobile Action MCP on Lovable AI Development MCP Client Mobile Action MCP on Mistral AI Agents MCP Compatible Mobile Action MCP on Amazon AWS Bedrock MCP Support

Just plug in your AI agents and start using Vinkius.

Mobile Action connects your AI agent to professional app store intelligence. You can check keyword rankings, estimate market revenue, or analyze competitor ads—all by asking questions directly in chat.

It gives you deep ASO data for iOS and Android without opening a single dashboard.

What your AI agents can do

Get ad creatives

Retrieves the specific advertising creatives used by apps in the store.

Get app info

Gets comprehensive details about a single app listed in the store.

Get app reviews

Pulls customer reviews for an app, allowing you to gauge sentiment and common pain points.

+ 9 more capabilities included
Benchmark Keyword Performance

Pull historical data showing how specific keywords have ranked over time.

Estimate App Market Size

Get calculated projections for an app's revenue, user base, and download potential in a given market.

Analyze Competitor Ads

View the ad creatives and marketing strategies used by competing apps.

Search & Discover Apps

Find specific apps or see who is currently topping the charts in a given category or country.

Monitor App Reviews

Retrieve actual customer reviews and track an app's historical rating performance.

Supported MCP Clients

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients
Free for Subscribers

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AI Agent

Mobile Action MCP Server: 12 Tools for App Intelligence

Use these twelve specialized tools to pull deep market data on app store performance, from keyword history to ad creatives.

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get ad creatives

Retrieves the specific advertising creatives used by apps in the store.

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get app info

Gets comprehensive details about a single app listed in the store.

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get app reviews

Pulls customer reviews for an app, allowing you to gauge sentiment and common pain points.

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get cpp details

Retrieves custom product page details for a specific application listing.

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get keyword ranking

Checks the historical ranking performance of a keyword for an app in various markets.

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get market estimations

Calculates estimated download numbers, revenue, and active users for any given app or niche.

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get rating history

Tracks an app's historical rating performance to see if quality is trending up or down.

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get related keywords

Provides a list of related ASO keywords that you can use to improve your store listing.

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get top apps

Lists the top-performing apps within specific categories and countries in the app stores.

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get tracked apps

Displays a list of all the apps you have previously set up for monitoring on the platform.

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get tracked keywords

Shows a list of keywords that are currently being monitored and tracked by the service.

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search apps

Searches the entire app store database for apps based on specific criteria or names.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

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  • Use this MCP plus 4,700+ others, all in one place
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  • Works with Claude, ChatGPT, Cursor, and more
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What you can do with this MCP connector

Mobile Action hooks your AI agent up to professional app store intelligence. You get real-time competitive metrics—from historical keyword rankings to estimated market revenue—right in your chat window. Forget opening dashboards; you just ask questions and get deep ASO data for both iOS and Android.

Finding the Right App or Market Niche

You can search the entire store database by name or criteria using search_apps. Need to know what's hot? You check out top performers in any category or country with get_top_apps. For a deep dive into one specific title, you get full details about the app listing via get_app_info, and if it’s an advanced product, you grab custom page data using get_cpp_details.

You're always aware of what's out there.

Sizing Up the Competition

To figure out how big a market is, you run get_market_estimations. It gives you calculated projections for potential revenue, active users, and total downloads for any app or niche. Want to know if your current keywords are playing nice? You check historical keyword performance with get_keyword_ranking, seeing exactly how those terms ranked over time across various regions.

To improve your listing game, you can ask for related ASO keywords using get_related_keywords. When you're monitoring multiple titles or terms, you use get_tracked_apps and get_tracked_keywords to keep everything in one place.

Analyzing Rivals and User Sentiment

Your competition is talking, and your agent listens. You retrieve actual customer reviews with get_app_reviews, letting you gauge sentiment or spot common pain points fast. To see if a title's quality is dipping or improving, you track its historical rating performance using get_rating_history. Wanna know what the ads look like? You pull the specific advertising creatives used by competing apps via get_ad_creatives, giving you an instant read on their marketing strategy.

Putting It All Together

This server lets you run a full competitive analysis straight through chat. You search for apps, estimate the market value of those apps, see what keywords they rank for historically, and analyze every ad creative your rivals are running. Your AI agent handles all this heavy lifting so you don't have to juggle multiple tools or log into three different dashboards just to get a quick read on the competition.

How Mobile Action MCP Works

  1. 1 Subscribe to the Mobile Action server and enter your API token.
  2. 2 Ask your agent a specific question (e.g., 'What is the keyword ranking history for X in the UK?').
  3. 3 The server runs the necessary tool, pulls the data, and formats the report directly into the chat window.

The bottom line is: you talk to your agent like a human analyst, and it handles all the database calls behind the scenes.

Who Is Mobile Action MCP For?

This is for App Marketers or Growth Product Managers who hate spending hours clicking through dashboards. If your job involves validating competitor performance or needing to know exactly what keywords are working in a specific market, this saves you the manual data aggregation.

App Store Optimization (ASO) Specialist

Uses get_related_keywords and get_keyword_ranking to find gaps in current keyword strategy.

Product Manager

Runs market intelligence reports using get_market_estimations and search_apps before pitching a new feature or product vertical.

Growth Marketer

Uses get_ad_creatives to analyze competitor ad campaigns and adjust spending strategies accordingly.

What Changes When You Connect

  • Stop guessing your keyword strategy. Use get_related_keywords to get a list of proven keywords and then use get_keyword_ranking to see if they actually move up the charts in specific countries.
  • Don't rely on vague metrics. Run get_market_estimations to get concrete numbers—download forecasts, revenue projections, and active user counts for any app or niche.
  • Need to know what your rivals are spending money on? Use get_ad_creatives to pull competitor ad data. You instantly see their marketing angle without signing up for their tools.
  • Get a quick market overview by running search_apps and then narrowing down using get_top_apps. It helps you identify high-potential niches fast, like finding the top 'Finance' apps in the US.
  • Deep dive into user sentiment. Running get_app_reviews gives you raw customer feedback so you know exactly what needs fixing before your next update.

Real-World Use Cases

01

Launching a new niche app

The PM wants to launch an educational fitness app. They first use get_top_apps to check the current leaders in that category. Next, they run search_apps and narrow down 5 potential competitors. Finally, they use get_market_estimations on those top 5 apps to see which one has the highest revenue ceiling, giving them their target.

02

Auditing a failing product line

The ASO Specialist notices rankings are slipping. They use get_keyword_ranking for the core keywords and simultaneously run get_rating_history. If performance is low, they check get_app_reviews to see if user complaints (like 'buggy UI') correlate with the rating drop.

03

Competitive counter-attack

The Growth Marketer wants to beat a major competitor. They use get_ad_creatives to steal their ad concepts, then check get_related_keywords to find keywords the competitor probably ignored. Finally, they run an estimate on those new keywords using get_market_estimations.

04

Monitoring a launch window

The PM is watching a major holiday sale. They use get_top_apps to see which categories spike first, then run get_app_info on the top candidates to confirm if they have good overall metrics (like high user counts) before committing resources.

The Tradeoffs

Asking for general market data

Typing: 'Tell me about the mobile app market.' This returns nothing useful because you haven't defined scope.

Be specific and use tools. Say: 'Use get_market_estimations to find the estimated revenue for the top 5 gaming apps in Germany.' Always specify country, category, or keyword.

Ignoring historical context

Asking only about current rankings without knowing how they arrived there.

Always check get_keyword_ranking to see the full history. This shows if a ranking jump was steady or if it's a sudden, short-lived spike.

Forgetting ad context

Just seeing that a competitor is high up in the charts but not knowing how they are spending money to stay there.

Run get_ad_creatives alongside your ranking checks. This links their visible success directly to their paid marketing effort.

When It Fits, When It Doesn't

Use this server if you need deep, actionable market data that requires cross-referencing multiple dimensions: keyword performance + revenue potential + ad spend + user sentiment. It's built for the analyst who needs validation across 3+ fronts.

Don't use it if your goal is simply internal reporting (e.g., 'What did we post last week?'). For that, use a dedicated analytics dashboard. Don't use it if you just need to know today's trending status; use get_top_apps for that quick view.

The value comes when you chain tools: Start with search_apps to define the niche, move to get_related_keywords to find opportunity, validate with get_market_estimations, and then confirm competitive threat using get_ad_creatives. If you only call one tool, you're missing half the story.

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Mobile Action. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Policy on every call

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How we secure it →

Works with Claude, ChatGPT, Cursor, and more

The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.

This server provides 12 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.

Available Capabilities

get_ad_creatives get_app_info get_app_reviews get_cpp_details get_keyword_ranking get_market_estimations get_rating_history get_related_keywords get_top_apps get_tracked_apps get_tracked_keywords search_apps

Market research used to be a spreadsheet nightmare.

Before this server, market intelligence meant logging into four different dashboards: one for keywords, one for competitor ads, one for reviews, and another for revenue estimates. You'd spend half a day just copy-pasting data points, updating spreadsheets, and cross-referencing dates to build a single view of the competition.

Now, you ask your agent directly in chat: 'Compare App X and App Y using `get_keyword_ranking` and `get_market_estimations`. Show me where they diverge.' The server pulls all that data—the rankings, the revenue projections, the user counts—and presents it cleanly. It's instant.

Mobile Action MCP Server: Get a full picture of app growth.

You no longer have to switch between an ASO tool, a competitor ad library, and a general market tracker. All the data is housed under one API call structure. You run `get_ad_creatives` and then immediately follow up with `get_related_keywords` on the same app ID.

The difference isn't just convenience; it’s depth. It lets you connect ad spend directly to keyword opportunity in a single, conversational flow.

Common Questions About Mobile Action MCP

How do I use get_market_estimations? Is it accurate? +

You provide the app name and target country. The estimations are calculated based on historical store data models. They give you a solid projection, but treat them as expert estimates, not guarantees.

Can I use get_keyword_ranking to compare multiple keywords at once? +

Yes, the tool tracks history for multiple keywords simultaneously. This lets you see if improving your ranking on one keyword negatively impacts another related term.

What is the difference between search_apps and get_top_apps? +

search_apps finds a specific app or group of apps based on criteria. get_top_apps shows you what's currently trending—the best performers right now—by category in a given store.

Do I need to use get_ad_creatives if I want to know about competitors? +

No, but it helps. get_ad_creatives provides the visible marketing angles. It gives you context for why a competitor might be ranked highly.

Is get_app_reviews useful if I just want revenue data? +

Absolutely. Reviews give you qualitative insight—the 'why' behind the numbers. A low rating history (via get_rating_history) suggests poor user retention, which will tank your market estimates.

What credentials do I need to run `get_app_info`? +

You must provide an active Mobile Action API token, which gets configured in the Vinkius environment variables. The tool cannot function or return data without a valid key.

Can I query `get_keyword_ranking` repeatedly throughout the day? +

You can run it frequently, but keep an eye on rate limits. Sending too many requests in quick succession might trigger temporary throttling. It's best to batch your keyword checks where possible.

Does `get_app_reviews` require the full App Store ID? +

Yep, you must provide a specific app ID to pull reviews. The tool can't search by name alone; it needs that unique identifier for accurate performance data.

How do I get a Mobile Action API Token? +

API access is available for Enterprise customers. You can find or request your token in the API section of the Mobile Action dashboard.

Which app stores are covered? +

Mobile Action covers both the Apple App Store (iOS) and Google Play Store (Android).

What is the format for country codes? +

Use standard ISO 3166-1 alpha-2 codes (e.g., 'US' for United States, 'BR' for Brazil, 'GB' for United Kingdom).

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Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
+ other MCP clients

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