
Pocketlantern
io.github.pocketlantern由 GitHub 帳號 pocketlantern 發布v0.2.0更新於 Oct 24, 2026
Blocker-aware decision layer for AI coding agents, grounded in source-linked, time-sensitive facts.
概覽
為編碼助理提供附來源連結的決策卡片與阻礙提示,用於技術選型、升級、遷移與授權問題。
- 可以做什麼
- PocketLantern 是一個本機 MCP 伺服器,透過 search_cards 工具以及 get_card、get_related_cards 檢索內建的決策卡片集,涵蓋 auth、frontend、database、ai、serverless、infra、backend 等 27 個類別。每張卡片包含結構化事實、取捨、注意事項與參考連結,搜尋結果還可附上來自內建圖譜索引的阻礙提示。檢索以關鍵字為基礎,不使用向量資料庫或嵌入,卡片隨 npm 套件一併提供。
- 適用情境
- 當助理需要推薦供應商、規劃框架或執行環境升級、選擇資料庫或認證服務,或回答訓練資料可能過時的授權與定價問題時,適合加入。主要面向 Claude Code、Cursor、Windsurf 等編輯器中的編碼助理。
- 執行需求
- 需要 Node.js 22 或更新版本,以及一個 MCP 用戶端。以 npm 套件 @pocketlantern/mcp-server 透過 stdio 安裝,或全域安裝 pocketlantern;init 指令會把伺服器寫入用戶端設定並加入一行專案規則。不需要帳號、API 金鑰或網路存取。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 Pocketlantern,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
PocketLantern
[npm version] [npm downloads] [CI] [License: MIT]
Your AI agent sounds confident. It missed the blockers.
Prices shift, versions break, licenses change. PocketLantern is a blocker-aware decision layer for AI coding agents, grounded in source-linked, time-sensitive facts.
Try these queries
Ask your AI agent after installing PocketLantern:
"Which auth provider — Clerk, Auth0, or Cognito?"
"Should I upgrade to Next.js 16?"
"Can I use the OpenAI Realtime API?"
Three questions. Three blocker types. Same AI, different facts.
[PocketLantern demo — Node.js 20→24 upgrade blockers surfaced in seconds]
Quick start
Prerequisites: Node.js >= 22, an MCP client (Claude Code, Cursor, etc.)
Claude Code
In your project directory:
init registers the MCP server in ~/.claude.json and adds a one-line rule to your project's CLAUDE.md. Restart Claude Code (Ctrl+C, then run claude again), then ask your first query.
Cursor / Windsurf / other MCP clients
Add to your MCP config (Cursor: ~/.cursor/mcp.json):
Then add this line to your project rules (.cursorrules, Kiro steering file, etc.):
Reload MCP servers: Cursor — Cmd+Shift+P -> "MCP: Restart Servers". Windsurf — restart the editor.
More queries to try
-
"How did Vercel pricing change with Fluid Compute?" Billing split to Active CPU + Memory, shared-process concurrency breaks isolation
-
"Prisma or Drizzle for Edge/serverless?" Prisma v7 ESM + driver adapter breaking, Edge preview-only; Drizzle 0.30-1.0 also breaking
Verify installation
How it works
PocketLantern is an MCP server. Your AI agent calls search_cards — and gets source-linked decision cards plus source-linked blocker warnings where available.
Local cardset. Instant lookup. No vector database. No embeddings. Keyword search, card links, and source-linked blocker warnings where available. The value is in source-linked decision cards, not clever retrieval alone.
What's included
Blocker-aware decision cards across 27 categories — plus source-linked blocker warnings from the bundled graph index. Ships with the npm package, works immediately, no network, no account:
What a card looks like
Each card is a structured YAML file with source-linked facts and official reference links:
See packages/schema/src/card.ts for the full schema definition.
Project structure
Monorepo: pnpm workspace. Build order: schema -> knowledge (no build) -> mcp-server -> cli.
Development
Missing a topic? Request coverage in Card Requests.
Contributing
Contributions to the tool (schema, MCP server, CLI, search) are welcome. See CONTRIBUTING.md for guidelines.
License
來源:README.md,提交 e81973e
工具
0版本歷史
1- v0.2.0最新Sep 16, 2026
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