MCP For Claude Marketplace
AppTweak

AppTweak MCP Connector for Claude

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Bring App Store Optimization (ASO) to your AI agent — track app rankings, fetch keyword volumes, and analyze competitor downloads via chat.

9 tools Official Updated Jun 28, 2026 Official Vinkius Partner
More Details Connect to Claude

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.

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

How it works

  1. Subscribe to this MCP server
  2. Securely insert your AppTweak API Key
  3. Start dictating market research requests to Claude, Cursor, or any compatible conversational AI client

Who is this for?

  • ASO Specialists — prompt the AI to find high-volume, low-difficulty keywords without leaving your spreadsheet planning
  • Product Managers — request an aggregated summary of the past 50 negative reviews to quickly spot major app-breaking bugs
  • User Acquisition Leads — monitor top chart movements and track competitor estimated downloads during key seasonal campaigns
  • Founders — get a morning digest of your current category ranking and keyword efficiencies across your target markets
app-store-optimizationkeyword-researchmarket-intelligencecompetitor-analysisapp-rankingsaso-strategy

9 tools expose this connector's capabilities to your AI agent.

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_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_rankings

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

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_category_rankings

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

get_app_reviews

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

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)

get_download_estimates

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

See how to talk to your AI agent using AppTweak.

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

Analyzed Spotify (324684580) on Apple Store (US). It ranks strongly in the 'Music' category with an average rating of 4.8 from 24 million reviews. The current version highlights a UI update. Should I fetch the recent Top Reviews or suggest keyword improvements for them?

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

Here are 5 analyzed keywords in the 'Habit Tracker' niche. 1) 'daily planner' — Vol: 65, Diff: High. 2) 'habit forming' — Vol: 45, Diff: Low. 3) 'streak counter' — Vol: 30, Diff: Low. 4) 'goal setting' — Vol: 50, Diff: Medium. 'streak counter' has the best KEI (Difficulty to Volume ratio). I recommend adding it to your subtitle.

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

I've fetched and analyzed the latest 20 reviews. The overall sentiment is Negative (avg rating 1.9/5). Common complaints center around: 1) Account bans without explanation, 2) The high cost of 'Gold' subscriptions relative to actual matches, and 3) An increase in bot accounts in the US market over the last 72 hours.

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.

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