AppTweak MCP. Instantly analyze app rankings and keyword volume from chat.
Gemini Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
AppTweak MCP Server brings App Store Optimization (ASO) data directly into your chat workflow. Use your agent to fetch keyword volumes, analyze competitor download estimates, and read aggregated user reviews without leaving your chat window.
It handles app metadata, category rankings, and full keyword strategy analysis.
What your AI agents can do
Get app metadata
Retrieves a complete list of an app's metadata, including its title, developer, rating, and category.
Get app reviews
Fetches individual user reviews from the app store for detailed sentiment analysis.
Get category rankings
Gets the historical ranking data for an app within its specific category.
Retrieves core app properties and performance indicators like title, developer, and rating for a given app ID or package name.
Fetches raw user reviews and provides aggregated sentiment analysis to pinpoint common complaints or requested features.
Checks an app's current ranking position, search volume, and Keyword Difficulty Index (KEI) for specific terms.
Suggests relevant keywords and analyzes search volumes to help optimize organic search visibility on app stores.
Provides estimated download numbers for any given app, useful for competitive market sizing.
Pulls the top free, paid, or grossing apps for a selected category to identify market leaders.
Ask AI about this MCP
Supported MCP Clients
Gemini Waiting for input…
019d7551get app metadata
Retrieves a complete list of an app's metadata, including its title, developer, rating, and category.
019d7551get app reviews
Fetches individual user reviews from the app store for detailed sentiment analysis.
019d7551get category rankings
Gets the historical ranking data for an app within its specific category.
019d7551get download estimates
Provides the estimated download numbers for a specific app, useful for sizing market potential.
019d7551get keyword rankings
Checks an app's current ranking, search volume, and KEI for specified keywords.
019d7551get keyword suggestions
Generates a list of relevant keywords for an app, helping improve store visibility.
019d7551get keyword volume
Determines the search volume and difficulty for any specific keyword you provide.
019d7551get review stats
Gathers high-level review data, including the overall rating and sentiment distribution for an app.
019d7551get top charts
Pulls the list of top-performing free, paid, or grossing apps within a given category.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with AppTweak, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
What you can do with this MCP connector
AppTweak MCP Server brings App Store Optimization (ASO) data straight into your chat. Use your agent to get keyword volumes, figure out competitor download estimates, and read user reviews without leaving your window. You can check app metadata, category rankings, and run full keyword strategy analyses right here. get_app_metadata pulls an app's title, developer, rating, and category. get_app_reviews fetches individual user reviews so you can do a detailed sentiment analysis. get_category_rankings gets an app's historical ranking data within its category. get_download_estimates gives you estimated download numbers for an app, which helps you size the market. get_keyword_rankings checks an app's current ranking, search volume, and KEI for keywords you specify. get_keyword_suggestions generates a list of relevant keywords for an app, helping boost store visibility. get_keyword_volume figures out the search volume and difficulty for any keyword you give it. get_review_stats collects high-level review data, including the overall rating and sentiment breakdown for an app. get_top_charts pulls the list of top free, paid, or grossing apps in a given category.
How AppTweak MCP Works
- 1 Connect the AppTweak MCP Server and insert your API key into your AI client.
- 2 Prompt your AI agent with a specific request (e.g., 'What are the top 5 keywords for a fitness app?').
- 3 The agent calls the necessary tool(s) and returns a synthesized, actionable report directly to your chat.
The bottom line is, you get full app store market intelligence through natural conversation, without opening a web dashboard.
Who Is AppTweak MCP For?
This is for the ASO Specialist who hates jumping between spreadsheets and dashboards. It's for the Product Manager who needs to analyze 50 negative reviews before a sprint planning meeting. It's for the Founder who needs a quick, reliable check on market rankings without hiring a full-time analyst.
Finds high-volume, low-difficulty keywords and analyzes competitor rankings by prompting the AI agent directly.
Requests summarized sentiment from user reviews to identify major bugs or recurring feature requests quickly.
Monitors top chart movements and estimates competitor downloads during a product launch campaign.
What Changes When You Connect
- Track competitor performance and size the market. Use
get_download_estimatesto get estimated download numbers for any rival app, letting you benchmark your growth against real-world market data. - Spot user pain points immediately. Run
get_app_reviewsto fetch raw user reviews and use the sentiment analysis to surface specific complaints or missing features that drive your next product update. - Plan keyword strategy without leaving your workspace. Ask for suggestions using
get_keyword_suggestionsand then validate the best picks usingget_keyword_volumeto confirm search volume and difficulty. - Understand market momentum. Use
get_top_chartsto see the top free, paid, or grossing apps in a category, instantly identifying current market leaders and emerging trends. - Monitor app health over time. Check
get_category_rankingsto see how an app's ranking has changed after a feature update or a major marketing campaign. - Build a full profile of any app. Combine
get_app_metadatawithget_review_statsto get a complete, actionable snapshot of an app's current health and market standing.
Real-World Use Cases
Evaluating a Competitor's Strength
A User Acquisition Lead needs to know if a new rival app is a threat. They ask their agent to run get_app_metadata and get_download_estimates on the competitor. The agent returns the rival's rating, category, and estimated downloads, allowing the lead to immediately adjust their marketing budget and strategy.
Optimizing the Subtitle for a New Feature
A Product Manager wants to improve visibility. They ask the agent to run get_keyword_suggestions for 'productivity' and then use get_keyword_volume on the top suggestions. This gives the PM the exact keywords needed to update the app's subtitle, ensuring maximum organic reach.
Crisis Management from User Feedback
A Product Manager receives a flood of negative reviews. Instead of reading 100 comments, they ask the agent to run get_app_reviews and get_review_stats. The agent summarizes the sentiment, pointing out that 70% of complaints mention a bug in the 'Export' function, allowing the team to prioritize the fix immediately.
Quarterly Market Checkup
A Founder wants to know where their app stands against the competition. They ask the agent to run get_top_charts for their category, followed by get_category_rankings for their own app. This gives a quick, holistic view of market shifts and the app's relative position.
The Tradeoffs
Manual Data Gathering
Copying the app ID from the Apple Store, opening a separate sheet to check rankings, then manually cross-referencing download numbers from a third-party tool.
→
Use the agent to run get_app_metadata first. Then, call get_download_estimates and get_keyword_rankings in sequence. This keeps all data points and the resulting analysis within the chat thread.
Over-relying on single metrics
Deciding to change the subtitle because one keyword has high volume, without checking if it also has high difficulty or if the category ranking has shifted recently.
→
Run get_keyword_volume to vet keyword difficulty and search volume. Then, run get_category_rankings to ensure the app's overall category performance supports the keyword change.
Ignoring user sentiment
Launching an update based purely on keyword research, only to find that users are complaining about a core bug that the keyword data never mentioned.
→
Always start by running get_review_stats and get_app_reviews. This gives you the qualitative data needed to validate whether the keyword changes will actually solve a user problem.
When It Fits, When It Doesn't
Use this if you need to correlate three or more distinct data points—like linking a negative sentiment spike (via get_app_reviews) to a dip in rankings (via get_category_rankings) while simultaneously identifying a new opportunity (via get_keyword_suggestions). It’s ideal for full-cycle ASO audits.
Don't use this if you just need a single data point, like checking the current rating. Use get_app_metadata for that. If you only care about keywords, use the get_keyword_volume tool directly. The strength of this server is synthesis, not single-call lookup.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AppTweak. 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.
VINKIUS INFRASTRUCTURE
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
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 9 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Checking App Store Performance Shouldn't Require 15 Different Tabs.
Right now, analyzing an app's market standing means a click here, a copy-paste there, opening a spreadsheet, and cross-referencing data from three different dashboards. You're tracking rankings in one tab, reviews in another, and market size in a third. It's slow, and you lose context every time you switch windows.
With the AppTweak MCP Server, you just tell your agent what you want to know. It runs the necessary tools—like `get_app_metadata` and `get_download_estimates`—and hands you a unified, chat-based report. You get the full picture, instantly.
AppTweak MCP Server: Get a Full App Profile in Chat
You stop running individual queries for app metadata, then going to a separate page for reviews, and then starting a new search for keyword volume. It's a series of disjointed, manual steps.
Now, your AI client runs the necessary tools—from `get_keyword_suggestions` to `get_review_stats`—and compiles a single, coherent brief. You know the app's weaknesses and its best chances for growth, period.
Common Questions About AppTweak MCP
How do I check keyword rankings using the get_keyword_rankings tool? +
You prompt your agent with the app ID and the keyword. The agent calls get_keyword_rankings and returns the current position, volume, and KEI for that keyword.
Is get_app_metadata the right tool for basic app info? +
Yes. get_app_metadata retrieves all core details for a given app ID or package name, including its developer and category history.
Can I use get_top_charts to see market leaders? +
Yes. get_top_charts lets you pull the top free, paid, or grossing apps for any category, helping you spot immediate market competitors.
What is the difference between get_keyword_suggestions and get_keyword_volume? +
Suggestions (get_keyword_suggestions) provide a list of potential keywords. Volume (get_keyword_volume) checks the specific search volume and difficulty for a keyword you already selected.
How do I analyze negative reviews using get_app_reviews? +
Run get_app_reviews to pull the raw feedback. The agent then aggregates this data and uses get_review_stats to provide a sentiment summary of the complaints.
Does the get_download_estimates tool provide data for both iOS and Android? +
It provides estimated download numbers for both platforms. You just need to specify which store you want to analyze for a given app.
How do I use get_review_stats to understand overall app health? +
It pulls aggregated review data, giving you rating distribution and overall sentiment. This helps you quickly gauge if the app's overall reception is trending up or down.
What happens if I try to run get_category_rankings for an app that doesn't exist? +
The tool returns a specific error message stating that the app ID or package name was not found. This lets you know exactly which identifiers you need to check.
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.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
More in this category
Brevo Alternative
Automate transactional messaging via Brevo — send emails, SMS, and WhatsApp messages, manage templates, and track delivery statistics directly from any AI agent.
LeadConnector
Power up HighLevel/LeadConnector — fetch contacts, trace opportunities, and handle appointments seamlessly.
Segment
Equip your AI agent with read access to your Segment workspace to audit sources, destinations, warehouses, and tracking plans natively.
You might also like
ActiveCampaign
Marketing automation and CRM — manage contacts, deals, lists, and automations via AI.
Cyberimpact
Equip your AI agent to manage email subscribers, monitor campaigns, and track marketing metrics via the Cyberimpact API.
PayPal
Manage e-commerce payments via PayPal — orchestrate orders, process captures securely, issue refunds natively, and structure active subscriptions using AI.