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TheWholeTorah

ai.thewholetorah/thewholetorah · v1.2.0

Measured by MCP Station

Description written by the publisher, not verified

Torah lessons in six languages: grounded search, cited lessons, sources, honest ask.

Connect

claude mcp add --transport http thewholetorah https://www.thewholetorah.ai/api/mcp

{
  "mcpServers": {
    "thewholetorah": {
      "url": "https://www.thewholetorah.ai/api/mcp"
    }
  }
}

Tools as reported by the server

• search_lessons
  Search TheWholeTorah.ai for lessons on a topic, across Mishnah, Tanya, Hayom Yom and Chassidus. Returns titles, links and short excerpts. Use this first to find what exists, then get_lesson for one.
• get_lesson
  Fetch one lesson by its slug (from search_lessons). Returns the lesson's opening in full and a link to read or listen to the rest on TheWholeTorah.ai.
• get_source_text
  Fetch the classical source text a lesson is built on (Mishnah, Shulchan Aruch, Tanya), vocalized, in full. These are public-domain texts via Sefaria.
• get_daily
  The Hayom Yom entry for a civil date (default: today in Jerusalem). Hayom Yom is the Rebbe's calendar of daily Chassidus teachings, one short entry per Hebrew calendar day. Note: the Jewish day begins at nightfall, so after dark the next day's entry applies.
• list_books
  The catalog: every book and collection on TheWholeTorah.ai with its sections and published lesson counts. Use it to see what the library covers before searching.
• search_sources
  Hybrid search over the classical text corpora themselves (Mishnah, Talmud, Rashi, Rambam, Shulchan Aruch, Tanya, the commentaries and more), separate from our lessons. Returns labeled passages with links where available. Use search_lessons for our teaching; use this for the primary texts.
• get_audio
  Narration links for a lesson by slug: one MP3 URL per language that has a published recording, so the lesson can be listened to, not just read.
• ask
  Ask a question and get an answer grounded ONLY in TheWholeTorah.ai's own lessons and sources, with citations. It will say when it does not know rather than guess. Prefer this for 'what does X say about Y' questions.

Website · JSON · Text for agents · Registry updated 2026-09-03