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openaso

Serves Apple App Store search ranks, keyword demand, suggestions and listing metadata to AI agents through an MCP endpoint.

At a glanceswept 2026-10-12

≈ 16visits/mo

Little sign of use · estimate, read 2026-10-12

  • openaso16
  • #1 Microsoft135M
  • Developer tools median25
For
App developers and ASO teams optimizing App Store listings through an AI agent
Price
Price not read
Activity
Activity not read yet
Company
Domain since 2026domain registered
Runs as
API
What people do with it
  • research keywords and check search demand per storefront
  • audit and draft app store metadata against search matching rules
  • track keyword rankings daily and get rank drop alerts
The companyeach fact with its source · read 2026-10-13
  • Domain since2026domain registered
How a program reaches itfound, not claimed · read 2026-10-13
  • MCP serverai.openaso/openasoverified in the MCP registry
  • Stateanswers, requires sign-inchecked 2026-10-13
  • Address to connectmcp.openaso.ai/mcp
  • MCP docsopenaso.ai/aso-mcp-serversthe vendor's page ↗

MCP server details →

Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.

Alternatives in Developer toolsby use, among tools still maintained

Figure and bar: visits/mo, estimate · year: online since

All Developer tools tools →

Questions this page answers
  • What is openaso?

    Serves Apple App Store search ranks, keyword demand, suggestions and listing metadata to AI agents through an MCP endpoint. It is listed in the Atlas under Developer tools.

  • Who is openaso for?

    App developers and ASO teams optimizing App Store listings through an AI agent

  • Do people use openaso?

    Little sign of use: ≈ 16 visits/mo · estimate, 2026-10.

  • What are alternatives to openaso?

    In Developer tools, by use: MCP Junction, Spek, Draftbase, AlphaCreek, Nucleus MCP, MoCoPo.

Not quite it? Describe the job

beta

Five tools from the Atlas that fit it, each judged against what you wrote.

How we read a tool

No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.

  • Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
  • Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
  • Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
  • The line and the use cases are written by us from the homepage, one tool at a time, and refused when they repeat the vendor's marketing.

How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.