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paultaki/ailooplibrary-mcp

paultaki/ailooplibrary-mcp

Read-only AI Loop Library
在 GitHub 查看 ↗直链 · 无中转页
配置模板(请按你的客户端调整)
claude mcp add ailooplibrary-mcp -- npx -y ailooplibrary-mcp
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
0 ★ · paultaki/ailooplibrary-mcp · 取自该仓库的 GitHub 页面 · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
评分构成
综合分 703 · 7 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 paultaki/ailooplibrary-mcp;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

AI Loop Library MCP server

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

Version 2.1.0. A read-only, local MCP server for the
AI Loop Library and its 68 bounded work loops.
The calling agent uses its knowledge of the operator's project to choose a loop;
the server supplies searchable specs, runnable protocols, and design checks.
One Python file, Python 3.9+, standard library only at runtime. No write tools,
credentials, model calls, or hosted server to operate.
Install
Download the single file:
For Cursor or another stdio client:
The standalone repository
contains the same server. Run the following from its root, or from mcp/ in
the site repository:
Already installed? Download the file again or update your clone and reinstall,
then restart the MCP connection. Existing installations do not update themselves.
Tools
| Tool | Result |
| --- | --- |
| browse_catalog(category?) | Compact catalog digest for the calling agent to judge |
| search_loops(query, category?, limit?) | Ranked matches with why-matched explanations |
| get_loop(id_or_slug) | Full spec, canonical URL, verifier classification, loop kind |
| pick_loop_for_goal(goal, constraints?, limit?) | Lexical shortlist and confidence signal; the calling agent chooses |
| render_run_protocol(id_or_slug, goal?, risk_posture?, kind?, max_rounds?, max_minutes?) | Markdown protocol and copyable prompt sharing the same stop conditions and approval boundaries |
| critique_loop(loop_description) | Text-based lint, per-check findings, critical missing checks, and related loops |
| design_loop(goal, constraints?, cadence?, context?) | New loop scaffold with a suggested domain verifier and explicit TODOs |
| list_categories() | Category counts and library links |
| catalog_stats() | Counts, catalog source, update metadata, and cache status |
Session protocols honor round and minute caps. Scheduled-tick protocols use
experiment logs, per-tick/total spend guidance, and a two-tick no-progress stop.
max_rounds and max_minutes apply only to session protocols. Strict posture
requires explicit approval for shared-surface actions, including in copied prompts.
The linter recognizes explicit gate language and flags common negations such as
"without human approval" or "approval is optional". Critical missing verification,
stop, budget, or approval checks prevent a positive overall grade. Text matching
cannot establish safety or grant permission, regardless of the numeric score.
Resources: ailooplibrary://catalog and ailooplibrary://loop/{id}.
All tools declare readOnlyHint and idempotentHint.
Catalog loading and outages
Resolution order:
1. AI_LOOP_LIBRARY_CATALOG_PATH: an authoritative local JSON file, using either
the catalog.json or data/loops.json shape. An invalid explicit path fails.
2. AI_LOOP_LIBRARY_CATALOG_URL, defaulting to https://ailooplibrary.com/catalog.json.
3. Local fallback: catalog.json beside the server, then ../catalog.json, then
../data/loops.json.
The server caches a validated catalog in memory for five minutes. Remote fetches
have a ten-second timeout and a 4 MiB response limit. Validation and search indexing
finish before a new snapshot replaces the current one.
来源
awesome · https://github.com/paultaki/ailooplibrary-mcp
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