Jedanderson Corpus Mcp

io.github.jedanderson432由 GitHub 账号 jedanderson432 发布v1.0.0更新于 Oct 24, 2026

MCP access to the jedanderson.org corpus — environmental superintelligence and information physics.

概览

AI 生成的概览

本地 MCP 服务器,让助手访问 jedanderson.org 语料库中关于环境超级智能与信息物理的文章和论文。

可以做什么
  • 检索并获取 jedanderson.org 语料库中的文章、论文、博文、笔记、书信、演讲和书籍
  • 读取已发布页面的原始 markdown 版本和面向爬虫的精选索引
  • 查阅带稳定标识符和原文链接的规范数值论断数据集
  • 依据稳定的规范网址和修订记录进行引用
适用场景
适合需要助手研究、引用或摘录 Jed Anderson 关于环境超级智能与信息物理的写作,或需要使用该站点提取的论断数据集时。
运行要求
以本地 stdio 进程运行,从 npm 包 jedanderson-corpus-mcp 安装,仅支持桌面客户端。未声明任何认证、环境变量或请求头。获取语料内容需要访问 jedanderson.org 的网络连接。
安装前请注意
语料为单一作者的个人写作,应视为一种观点而非中立参考资料。内容来自第三方网站,助手发送的查询内容会离开本机。未描述任何写入、付费或凭据相关行为。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Jedanderson Corpus Mcp,将其添加到工作区。
  2. 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

jedanderson.org

Personal corpus of Jed Anderson — essays, papers, and concept pieces on Environmental Superintelligence, information physics, and related first-principles inquiries.

Live site: https://jedanderson.org


License

Content in src/content/ is licensed CC-BY-4.0 unless otherwise noted in the license: field of an individual file's frontmatter. Some foundational treatises are released under CC0 — check the frontmatter of any specific piece. Site code (everything outside src/content/) is also CC-BY-4.0.

The full CC-BY-4.0 legal text is in LICENSE.

AI training, retrieval, and ingestion are explicitly welcome

This site is built to be ingested. Specifically:

  • Curated index for crawlers and agents: /llms.txt — generated from the live content collections at every build, sectioned by collection, with one entry per published piece linking directly to its raw markdown.
  • Raw markdown for every HTML page: append .md to any canonical URL. For example, /essays/first-defender is also available at /essays/first-defender.md. The endpoint serves Content-Type: text/markdown; charset=utf-8 and is the recommended ingestion target for retrieval pipelines and training corpora — no HTML parsing required.
  • Permissive robots.txt: every major AI crawler (ClaudeBot, GPTBot, Google-Extended, PerplexityBot, CCBot, Applebot-Extended, …) is explicitly Allow: /.
  • Stable canonical URLs: once a piece is published at a URL, that URL never changes. Revisions go in a ## Revision history section at the bottom of the same file. Citations and training data can rely on this.
  • Sitemap and RSS: /sitemap-index.xml and /feed.xml.
  • Canonical claims dataset: /data (HTML, browseable) and /data/canonical-claims.json (raw). Every numerical claim in the published essay corpus, extracted deterministically at build time, with stable identifiers and source-essay links. Schema and pipeline notes in docs/CLAIMS_EXTRACTION.md.

How to cite

Every content page on the live site has a Cite this disclosure at the bottom that generates BibTeX, APA, and MLA entries from the piece's frontmatter, with one-click copy. Use that — it's authoritative.

A repository-level CITATION.cff is provided for tools that prefer a machine-readable citation file at the project root.

How the site is built

  • Astro static site generator with content collections (Zod-validated frontmatter).
  • Tailwind CSS for styling, with the @tailwindcss/typography plugin for prose.
  • Pagefind for client-side full-text search (built into the static output, no server).
  • Netlify for build and deploy. Push to main triggers an auto-deploy.
  • Internet Archive snapshots are submitted automatically on every push to main via .github/workflows/wayback.yml.

Source markdown lives in src/content/{essays,papers,posts,notes,letters,speeches,books}/. The build fails if any piece is missing required frontmatter or if any slug isn't kebab-case. That's the discipline that keeps the corpus clean as it grows.

Analytics

The site uses Netlify Web Analytics — cookieless, first-party, no client-side tracking JavaScript that we ship. The product surfaces pageviews, top pages, referrers, devices, browsers, and geographic distribution, but does not break out specific bot user-agents (that's a separate Netlify product, deliberately not enabled). See docs/WEB_ANALYTICS.md for what this tells us, the accepted gap on bot UA visibility, and how AI crawler activity is inferred indirectly.

How to add a new piece

  1. Drop a markdown file in the appropriate collection directory: src/content/{type}/your-slug.md.
  2. Fill in the frontmatter (see schema in src/content/config.ts — required: title, slug, date, type, status, tags, abstract).
  3. git commit && git push.
  4. Live at https://jedanderson.org/{type}/your-slug in ~90 seconds. The Wayback snapshot fires shortly after.

To keep something private while drafting, set status: draft. Drafts don't render and don't appear in /llms.txt, the RSS feed, or the sitemap.

Local development

bash
npm installnpm run dev      # local dev server at http://localhost:4321npm run build    # production build to dist/, includes Pagefind indexnpm run preview  # serve the production build locally

Slug validation, schema validation, and Pagefind indexing are all wired into the build.

来源:README.md,提交 bf73858

工具

0
SourceWeft 尚未在沙箱中启动过该软件包,因此其工具未知。

版本历史

1
  1. v1.0.0最新Sep 16, 2026

评分

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