
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
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
在 SourceWeft 中
- 開啟 儀表板中的 Lumi App Finder,將其新增到工作區。
- 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:
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:
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 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:
[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:
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
Refresh the bundled catalog and 50 locale resources from the public
ios-app-guide source:
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版本歷史
1- v1.3.0最新Sep 16, 2026
評分
已滿足適用檢查項的 50%
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