mcp server
openaso
App Store Optimization for AI agents: keyword ranks, suggestions, popularity, competitors, reviews
Description as published by the maintainer. Source
- version 0.3.0
- active
active — Most recent push to the repository was 2026-07-28.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| GitHub stars | 0 | Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. | cumulative, all time | GitHub | |
| Last commit | 2026-07-28 | Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. | point in time | GitHub | |
| Open issues | 0 | Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. | as of fetch | GitHub | |
| Latest published version | 0.3.0 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-07-28 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| First listed in the MCP Registry | 2026-07-28 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| repository status | active | The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. | as of fetch | GitHub |
Where to get it
Related, by what their authors tagged them
-
app.trysonar/sonar
— last commit 2026-07-18, shares app-store-optimization, aso, keyword-research
ASO tools for AI agents: keyword research, rank tracking, competitor analysis (iOS & Android).
-
Appfigures
— last commit 2026-06-05, shares app-store, app-store-optimization, aso
Access your app analytics, ASO tools, and app market intelligence with Appfigures.
-
App Store Trends API
— last commit 2026-08-03, shares app-store, aso
App downloads and chart ranking trends for iOS and Android. Free key at trendsapi.ai
-
com.getappniche/mcp
— last commit 2026-08-05, shares app-store, aso
Live App Store & Google Play data for AI agents: app discovery, ASO keywords, reviews.
-
Google Trends API
— last commit 2026-08-03, shares keyword-research
Google Trends search interest over time with growth metrics. Free key at trendsapi.ai
-
MCPfinder - MCP Server Discovery
— last commit 2026-07-01, shares app-store
Your AI discovers and installs MCP servers across Official Registry, Glama, and Smithery.
-
Lumi App Finder
— last commit 2026-07-22, shares app-store
Find iOS apps by task across 29 live apps and 50 Apple locales, with direct App Store links.
-
AMZScout Skill + MCP
— last commit 2026-08-06, shares keyword-research
Amazon research from AMZScout data: analyze products & niches, keywords/PPC, and brand catalogs.
-
Yandex Wordstat MCP
— last commit 2026-08-05, shares keyword-research
MCP server for Yandex Wordstat API: top & related queries, demand dynamics and regions.
-
io.github.den-indance/google-trends-mcp
— last commit 2026-05-22, shares keyword-research
Google Trends MCP with proxy rotation, auto-retry on Google blocks, residential-proxy setup.
These share tags the maintainers applied themselves, such as app-store-optimization, aso, keyword-research, app-store. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.
This is not a recommendation and not a test result. It is a map of what the authors said their work is about.
Also from xekor
-
Gentkey
— last commit 2026-07-28
One MCP URL for all your connectors — scoped writes, enforced constraints, and a full audit trail.
How the author describes it
Topics the maintainer set on GitHub: ai-agents, app-store, app-store-optimization, apple, aso, claude, keyword-research, mcp, mcp-server, model-context-protocol.
Bring your own setup
We take apart real AI setups every week and show what broke, what cost too much, and what the trace actually said. If you run agents on real work, that is where the useful conversation is.
Join ZBS AI Practice Lab