MCP server

Listen to Sadhu Official

app.listentosadhu/corpus

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Read-only semantic search over Vedic scripture verses, commentaries, and recorded lectures.

Website

At a glance

Type

MCP server

Publisher

listentosadhu.app (verified by the MCP Registry)

Status

Working at last check

Tools

21

Token cost

About 3,842 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http corpus https://mcp.listentosadhu.app/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.corpus]
url = "https://mcp.listentosadhu.app/mcp"

Gemini CLI

{"mcpServers":{"corpus":{"httpUrl":"https://mcp.listentosadhu.app/mcp"}}}

Cursor

{"mcpServers":{"corpus":{"url":"https://mcp.listentosadhu.app/mcp"}}}

VS Code

{"servers":{"corpus":{"type":"http","url":"https://mcp.listentosadhu.app/mcp"}}}

Antigravity

agy mcp add corpus https://mcp.listentosadhu.app/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"corpus","server_url":"https://mcp.listentosadhu.app/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"corpus","server_url":"https://mcp.listentosadhu.app/mcp"}

Tools

• author_list ~96 tokens
  List all authors.
• author_resolve ~95 tokens
  Find a author by name (fuzzy).
• document_get ~80 tokens
  Get a document (commentary/prose_chapter/letter) by id.
• document_list ~210 tokens
  List documents at a reference / in a book. A verse's purport = document_list(source, tokens, kind:"commentary").
• excerpt_prepare ~192 tokens
  Generate (or fetch, if cached) the audio clip for a lecture passage and return its playable URL. This is the excerpt player's Play action — it is called for you by the player UI on demand. Agents should use excerpt_render to show the player, not call this directly. Idempotent: same track+window retu
• excerpt_render ~220 tokens
  Let the user HEAR a lecture passage inline. Call this when the user wants to LISTEN to a specific moment in a track — e.g. from a search(types:["track"]) hit, pass its track_id plus start_ms/end_ms. Renders an inline audio player that generates the clip on demand (public share-audio, max 10 minutes)
• location_list ~97 tokens
  List all locations.
• location_resolve ~96 tokens
  Find a location by name (fuzzy).
• media_render ~133 tokens
  Show/play an existing corpus VIDEO clip inline. Call this when the user wants to WATCH a clip found via search(types:["media"]) — pass the hit's media_id. Renders an inline video player.
• search ~512 tokens
  Semantic + lexical search over the corpus. Returns verses, documents, track passages and titles matching a natural-language query, each with the id needed to fetch the full record (verse_id→verse_get, document_id→document_get, track_id+start_ms/end_ms→transcript_window; media_id→media_render to play
• source_get ~102 tokens
  Get one book by id or code ("source_…" or "BG"/"БГ").
• source_list ~110 tokens
  List all books (Caitanya-caritāmṛta is three sources).
• source_resolve ~110 tokens
  Find a book by name (fuzzy): "gita", "бхагаватам", "CC Madhya".
• track_get ~91 tokens
  Get a track (lecture/conversation): metadata, cited references, transcript/pdf availability.
• track_list ~301 tokens
  List tracks, filterable by reference (source[+tokens] = tracks citing it), author/location/kind/date/lang. No filter ⇒ recent tracks (date desc).
• transcript_window ~185 tokens
  Read a track's transcript around a time window (from a search track hit or track_list). Widen with pad_ms.
• verse_get ~270 tokens
  Fetch a verse's raw fields for your own reasoning (NOT for display — to show a verse to the user, use verse_render). Returns original script + transliteration as line arrays; with lang, also the canonical translation inline plus an `alternatives` manifest of other translation kinds in that language
• verse_list ~170 tokens
  List the verses of a book / chapter. Skips .0 chapter summaries; collapses merged verses into one item with a covers span.
• verse_render ~314 tokens
  Show a verse to the user. THE DEFAULT way to display/read a scripture verse: renders an inline card with the original script (centered), transliteration in the requested language, the word-by-word, and the translation — all at once. Use this whenever the user asks to see, read, open, or quote a spec
• verse_synonyms ~229 tokens
  Fetch the word-by-word ("Synonyms") as a raw {word, meaning} array for one verse translation (data — verse_render already shows the word-by-word inside the card). Defaults to the canonical rendering; pass `kind` for an alternative.
• verse_translation ~229 tokens
  Fetch the text of ONE translation of a verse (data, not a card — to display a verse use verse_render). Defaults to the canonical (kind=canonical); pass a `kind` from verse_get's `alternatives` manifest to fetch a specific rendering.

Browse

• PDF tools
• Translation
• Searching your documents (RAG)

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