Lumi App Finder MCP
Allows matching user tasks or buyer needs to verified live iOS apps, returning localized App Store links, guides, and purchase models for the matching storefront.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Lumi App Finder MCPFind me an app for tracking my daily water intake"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Lumi App Finder MCP
Lumi App Finder gives AI assistants one read-only tool for matching a user's task or buyer need to a verified live Lumi Studio iOS app.
It covers 46 apps × all 50 Apple locales. Every result includes editorially localized context, the purchase model, a detailed guide, and a direct App Store link for the matching storefront.
Hosts that support the stable MCP Apps extension render the matches as interactive, localized cards with one-click App Store and guide actions. Other hosts receive the same complete text and structured-data fallback.
First-party disclosure: Lumi Studio develops every listed app. Results are transparent publisher-authored text matches, not measured search volume, independent rankings, reviews, or user endorsements.
Agent Skill
AI hosts that support the open Agent Skills specification can install the same 50-locale, first-party catalog as an offline, progressively loaded skill:
gh skill install alice51849/lumi-mcp lumi-app-finder --scope userGitHub CLI 2.90 or newer installs to GitHub Copilot by default. Add
--agent claude-code, --agent cursor, --agent codex, or
--agent gemini-cli for another supported host. The installed skill reads only
the requested locale's 46-record snapshot and requires no account, API key,
network request, or executable script at runtime.
The version-pinned skill also works with the Vercel Skills CLI and its supported agents:
npx -y skills@1.5.19 add https://github.com/alice51849/lumi-mcp --skill lumi-app-finder -g -yThe third-party installer reports anonymous installation telemetry by default under the skills.sh CLI policy. The installed Lumi App Finder skill itself remains offline and contains no analytics.
The public skill is discoverable on its
skills.sh directory page,
which reads the same first-party SKILL.md from this repository.
Lumi App Finder is also listed in the independently maintained Awesome Skills directory, which links to the published skill files.
Related MCP server: mcp-appstore-connect
Tool
find_ios_apps
Inputs:
query— task, app name, or buyer need in any supported language.locale— one of Apple's 50 supported locale codes; defaults toen-US.limit— 1–10 matches; defaults to 5.
The release snapshot is generated from the authoritative live publisher registry and rejected unless it contains exactly 46 unique App Store IDs × 50 Apple locales = 2,300 complete records. The runtime reads only that digest-verified bundled snapshot: it makes no network request, and user query text never leaves the local MCP process.
Install
Find io.github.alice51849/lumi-app-finder in clients or registries that use
the official MCP Registry, or use a version-pinned installer:
The VS Code and Cursor links run the zero-dependency server from the latest
verified public GitHub release through npx; Node.js 20 or newer is required.
The same configuration can be added manually:
{
"servers": {
"lumi-app-finder": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"https://github.com/alice51849/lumi-mcp/releases/latest/download/lumi-app-finder-npx.tgz"
]
}
}
}The MCPB uses Node's stdio transport and needs no account, API key, external UI runtime, or manual configuration.
The source includes a multi-architecture OCI release path. Main does not advertise an OCI tag as installable until release publication verifies an existing public GHCR package, a candidate digest, ownership labels, SBOM, provenance, and a 50-locale MCP smoke test, then promotes that same digest to the public semver tag and Registry.
For Cline, use the exact configuration and verification steps in llms-install.md.
50-locale coverage
ar-SA, bn-BD, ca, cs, da, de-DE, el, en-AU, en-CA,
en-GB, en-US, es-ES, es-MX, fi, fr-CA, fr-FR, gu-IN, he,
hi, hr, hu, id, it, ja, kn-IN, ko, ml-IN, mr-IN, ms,
nl-NL, no, or-IN, pa-IN, pl, pt-BR, pt-PT, ro, ru, sk,
sl-SI, sv, ta-IN, te-IN, th, tr, uk, ur-PK, vi,
zh-Hans, zh-Hant.
MCPB display metadata and the catalog output both use these localized resources.
Development
npm ci
npm run catalog:gate
npm run build:ui
npm run build:skill
npm test
npm run smoke
npm run benchmark
npm run validate
npm run validate:registry
npm run pack:mcpbRefresh the bundled catalog and 50 locale resources from the public
ios-app-guide source:
npm run sync:catalogVersion tags publish the MCPB and attested multi-architecture OCI image, then update the official Registry through GitHub OIDC without long-lived registry credentials. Registry publication is the final step and cannot run before all artifact gates succeed.
Privacy
See PRIVACY.md. The runtime has zero telemetry, no analytics or tracking, no network requests, and no query, IP-address, or user-agent logging.
Security
Report vulnerabilities privately through the security policy, not through a public issue.
License
MIT. Third-party language-data notices are in THIRD_PARTY_NOTICES.txt; bundled MCP App library licenses are in MCP_APP_NOTICES.txt.
This server cannot be deployed
Maintenance
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