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App Store Operator
The App Store MCP for developers who never leave Claude
MCP server that connects Claude to App Store competitive intelligence. Research rivals, get download and revenue data, and search the App Store An MCP server for Claude that puts rival research, App Store rankings, and In-App Event copy generation inside your workflow. Ask in plain English, get structured data back in seconds. No browser, no API keys. One command to install.
I built App Store Operator because I live in Claude Code and I kept breaking flow to do App Store work.
Researching a keyword meant opening the App Store, finding the top apps, switching to SensorTower, reading download and revenue estimates, copying them into a doc — 15 to 20 minutes per keyword, every time. Writing In-App Event copy meant a separate context switch into a character-counting spreadsheet. None of that output landed inside Claude where I was already thinking and building.
So I built an MCP server that brings it all in.
Once it's set up — one terminal command — you just ask Claude in plain English. It handles the rest. No tabs. No tools. Just prompts.
Here's what it does today:
1. research_rivals — searches the App Store for any keyword, scrapes SensorTower for the top 3 results, and returns 16 structured fields per app: downloads, revenue, ratings, publisher, top markets, and more
2. search_app_store — ranked App Store results as a structured table, up to 25 apps, no browser required
3. get_app_details — on-demand SensorTower analytics for specific app IDs when you already know who you're watching
4. prepare_iae — generates iOS In-App Event copy in 3 variations with all App Store Connect character limits enforced, in any of 14 supported locales, no external API calls
What's coming next is the part I'm most excited about: full ASO through the App Store Connect CLI — updating metadata, submitting copy, managing your entire App Store presence — without ever leaving Claude. The goal is a complete ASO workflow that lives entirely inside your AI conversation.
It's MIT licensed, published on npm, and free. A 24-hour local cache means repeat queries on the same keyword return instantly.
I'd love to hear from other developers living in Claude Code — what App Store workflows are still costing you the most time? What would make this genuinely more useful for how you actually work?
Thanks to everyone in the Product Hunt community for taking a look today.
About App Store Operator on Product Hunt
“The App Store MCP for developers who never leave Claude”
App Store Operator was submitted on Product Hunt and earned 25 upvotes and 5 comments, placing #23 on the daily leaderboard. MCP server that connects Claude to App Store competitive intelligence. Research rivals, get download and revenue data, and search the App Store An MCP server for Claude that puts rival research, App Store rankings, and In-App Event copy generation inside your workflow. Ask in plain English, get structured data back in seconds. No browser, no API keys. One command to install.
On the analytics side, App Store Operator competes within iOS, Developer Tools, GitHub and Vibe coding — topics that collectively have 664.7k followers on Product Hunt. The dashboard above tracks how App Store Operator performed against the three products that launched closest to it on the same day.
Who hunted App Store Operator?
App Store Operator was hunted by Yusuf Demirci. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of App Store Operator including community comment highlights and product details, visit the product overview.
Yusuf Demirci