
Pocketlantern
io.github.pocketlantern由 GitHub 账号 pocketlantern 发布v0.2.0更新于 Oct 24, 2026
Blocker-aware decision layer for AI coding agents, grounded in source-linked, time-sensitive facts.
概览
为编码助手提供带来源链接的决策卡片和阻碍提示,用于技术选型、升级、迁移和许可问题。
- 可以做什么
- PocketLantern 是一个本地 MCP 服务器,通过 search_cards 工具以及 get_card、get_related_cards 提供内置决策卡片集的检索,覆盖 auth、frontend、database、ai、serverless、infra、backend 等 27 个类别。每张卡片包含结构化事实、取舍、注意事项和参考链接,搜索结果还可附带来自内置图谱索引的阻碍提示。检索基于关键词,不使用向量数据库或嵌入,卡片随 npm 包一起提供。
- 适用场景
- 当助手需要推荐供应商、规划框架或运行时升级、选择数据库或认证服务,或回答训练数据可能过时的许可与定价问题时,适合添加。主要面向 Claude Code、Cursor、Windsurf 等编辑器中的编码助手。
- 运行要求
- 需要 Node.js 22 或更高版本以及一个 MCP 客户端。以 npm 包 @pocketlantern/mcp-server 通过 stdio 安装,或全局安装 pocketlantern;init 命令会把服务器写入客户端配置并添加一行项目规则。无需账号、API 密钥或网络访问。
安装
在 SourceWeft 中
- 打开 控制台中的 Pocketlantern,将其添加到工作区。
- 为需要使用其工具的对话启用该服务。
Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。
其他 MCP 客户端
参照 仓库 中的启动说明。
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
来源:README.md,提交 e81973e
工具
0版本历史
1- v0.2.0最新Sep 16, 2026
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