Vedaword

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

• 连接方式: 在云端运行
• 传输方式: Streamable HTTP
• 分类: 搜索与 AI 记忆

安装

选择你使用的 AI 应用，然后复制设置。

你需要

• 在云端运行无需安装任何东西，通过互联网连接

你用的是哪个应用？

https://mcp.vedaword.com

claude mcp add --transport http library https://mcp.vedaword.com

{
  "mcpServers": {
    "library": {
      "url": "https://mcp.vedaword.com"
    }
  }
}

{
  "servers": {
    "library": {
      "type": "http",
      "url": "https://mcp.vedaword.com"
    }
  }
}

https://mcp.vedaword.com

你的选择通过 Cookie 保存在这台设备上，无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。

它能做什么

工具名称和描述与服务器在 2026年11月6日 报告的完全一致。这些内容由作者撰写，不是我们写的；我们以纯文本形式显示。

• search_texts

  Search the Vedaword library of Sanskrit scripture by meaning as well as by wording, so a paraphrased question works and a Sanskrit term reaches passages written in another script. This is the first thing to call for any factual question about what the scriptures say. Start here w

• get_verse

  Fetch one verse whole: the Sanskrit in Devanāgarī and IAST, the word-by-word breakdown with the meaning each word carries in this passage, the literary translation, the commentary, and optionally the surrounding verses. Call it after search_texts when you are going to quote, and

• lookup_sanskrit_term

  Look up a Sanskrit word: its spellings across scripts, the meanings it carries in this corpus, how many verses gloss it, and examples of where it occurs. Built from the word-by-word breakdowns of some 30 000 verses, so these are the meanings translators actually assigned to the w

• find_similar_verses

  Given a verse, find other passages in the library that say something close to it — by meaning, not by shared words. Start here when you already have a verse; when you only have words, a question or a term, use search_texts. Use it to check whether a teaching appears elsewhere bef

• get_vaishnava_calendar

  Ekadashi fasts, festivals and the appearance and disappearance days of the acharyas in the Gaudiya Vaishnava calendar, computed for one place. Call it for any question about when an Ekadashi or a festival falls, or when to break a fast. The place is required and matters: the fast

• list_works

  List the works with their sizes, shelf, author and available languages. Call it at the start of a conversation about scripture, or when you need work slugs for filtering. The list is short by default: no descriptions. Narrow it with `category` (a shelf: itihasa, purana, upanishad

• list_authors

  List the authors the tradition names, grouped by period, each with a short note and the books credited to them. Call it when the user asks who wrote something, or wants the works of one acharya; pass the author's `id` to list_works to see the books. Filter by `era`: shruti, class

• browse_work

  Walk a work's structure in order: a work gives its sections, a section its chapters, a chapter its verses (label and translation, in pages). Use it when the user wants to read a chapter or a book through, asks what comes after a verse, or what a book contains; search_texts cannot

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

• ! 注意

  作者与仓库一致

  注册中心没有列出源代码仓库，因此无法将发布者（vedaword.com）与代码对应起来

• … 尚未检查

  仍在维护

  我们还没有从 GitHub 读取这个仓库

• … 尚未检查

  有许可证

  我们还没有从 GitHub 读取这个仓库

• ✓ 通过

  端点有响应

  在 566 毫秒内响应（HTTP 200）

• – 不适用

  使用 OAuth 登录

  无需登录

• ✓ 通过

  工具描述中没有隐藏指令

  已读取 8 个工具描述，未发现针对 AI 的隐藏指令

与“搜索与 AI 记忆”中的其他服务器比较i

• 星标数多于此分类中其他 7271 个服务器的 0%
• 发布到注册中心的时间比此分类中其他 7271 个服务器的 83% 更新
• 基础检查结果等于或优于此分类中其他 7271 个服务器的 40%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

作者的 README

仓库中没有找到 README