Lumi App Finder

io.github.alice51849由 GitHub 帳號 alice51849 發布v1.3.0更新於 Oct 27, 2026

Find Lumi Studio iOS apps by task across all 50 Apple locales, with direct App Store links.

發布方自己的服務:Finder Jobs

已驗證STDIO僅桌面位置與生活商業與電商

概覽

AI 產生的概覽

唯讀 MCP 伺服器,可依任務或購買需求在 50 個 Apple 語言地區中媒合 46 款 Lumi Studio iOS 應用程式,並提供 App Store 連結。

可以做什麼
  • 以任何支援的語言,依任務、應用程式名稱或購買需求查詢內建的 46 款 Lumi Studio iOS 應用程式目錄。
  • 選擇 Apple 50 個語言地區代碼之一,並將結果限制在 1 至 10 筆。
  • 每筆結果包含在地化說明、購買模式、詳細指南,以及對應商店的直接 App Store 連結。
  • 在支援 MCP Apps 擴充的宿主中顯示為可互動的在地化卡片,其他宿主則取得文字與結構化資料的備援結果。
適用情境
當助理需要針對使用者描述的任務或需求推薦 iOS 應用程式,並希望附上在地化 App Store 連結時適用。它只是單一發行商的目錄,適合在 Lumi Studio 自家應用程式範圍內查找,而非通用 App Store 搜尋。
執行需求
以 stdio 在本機執行;MCPB 套件無需帳號、API 金鑰或手動設定。npx 安裝方式需要 Node.js 20 或更新版本,另提供 OCI 映像。執行時不需要網路存取。
安裝前請注意
結果是發行商自行撰寫的文字媒合,並非實測搜尋量、獨立排名、評論或使用者推薦,且所有應用程式皆出自同一發行商。執行時不會發出網路請求,也不記錄查詢。選用的 Agent Skill 安裝器由第三方提供,預設會回報匿名安裝遙測。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Lumi App Finder,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

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:

bash
gh skill install alice51849/lumi-mcp lumi-app-finder --scope user

GitHub 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:

bash
npx -y [email protected] add https://github.com/alice51849/lumi-mcp --skill lumi-app-finder -g -y

The 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.

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 to en-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:

[Install in VS Code] [Install in Cursor] [Download for Claude Desktop]

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:

json
{  "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

bash
npm cinpm run catalog:gatenpm run build:uinpm run build:skillnpm testnpm run smokenpm run benchmarknpm run validatenpm run validate:registrynpm run pack:mcpb

Refresh the bundled catalog and 50 locale resources from the public ios-app-guide source:

bash
npm run sync:catalog

Version 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.

來源:README.md,提交 4c0c37f

工具

0
SourceWeft 尚未在沙箱中啟動過該軟體包,因此其工具未知。

版本歷史

1
  1. v1.3.0最新Sep 16, 2026

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