Listen to Sadhu

Listen to Sadhu exposes a searchable corpus of Vedic scripture and recorded lectures.

CommunityOnlineNo sign-inGlobalFreeCan modify data

What it can do

  • Author List: List all authors.
  • Author Resolve: Find a author by name (fuzzy).
  • Document Get: Get a document (commentary/prose_chapter/letter) by id.

What data it sees

Do you need an account

No: the server works without sign-in

Listen to Sadhu exposes a searchable corpus of Vedic scripture and recorded lectures. Look up verses by reference (e.g. "BG 2.13", "SB 5.5.3", "CC Madhya 8.128") with original Devanagari/Bengali, IAST transliteration and translations; read commentaries, prose chapters and letters; and search transcribed talks with semantic + lexical retrieval. Inline audio/video players let you hear a lecture passage or watch a clip. Read-only, no auth, no writes.

How to connect

How to connect Listen to Sadhu to Claude

The server address to paste into Claude settings:

https://corpus--listentosadhu.run.tools

  1. Open Claude (claude.ai or the desktop app).
  2. Go to Settings → Connectors.
  3. Click Add custom connector.
  4. Paste the server address copied below into Remote MCP server URL and click Add.
  5. In a chat, click + → Connectors and switch the new connector on.

Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

Authorization

After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

How to connect Listen to Sadhu to ChatGPT

The server address to paste into ChatGPT settings:

https://corpus--listentosadhu.run.tools

  1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
  2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
  3. Open Settings → Connectors and click Create.
  4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
  5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
  6. In a new chat open + → Apps/Connectors and enable the connector.

OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

Authorization

On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

How to connect Listen to Sadhu to Cursor

The server address to paste into Cursor settings:

https://corpus--listentosadhu.run.tools

Fastest: click Open in Cursor below and confirm the prompt.

Manually:

  1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
  2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
  3. Save the file. The server appears in the MCP list; authorize it there if asked.

Authorization

If the service needs sign-in, an authorize button appears next to the server in the MCP list.

Server tool list (18)

Raw names from tools/list. Only developers need these.

author_listList all authors.
author_resolveFind a author by name (fuzzy).
document_getGet a document (commentary/prose_chapter/letter) by id.
document_listList documents at a reference / in a book. A verse's purport = document_list(source, tokens, kind:"commentary").
excerpt_prepareGenerate (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 lecture_excerpt to show the player, not call this directly. Idempotent: same track+window returns the same cached clip.
lecture_excerptLet 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_listList all locations.
location_resolveFind a location by name (fuzzy).
media_getShow/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.
searchSemantic + 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_get to play the clip). Every filter is optional. Use min_score to drop weak matches.
source_getGet one book by id or code ("source_…" or "BG"/"БГ").
source_listList all books (Caitanya-caritāmṛta is three sources).
source_resolveFind a book by name (fuzzy): "gita", "бхагаватам", "CC Madhya".
track_getGet a track (lecture/conversation): metadata, cited references, transcript/pdf availability.
track_listList tracks, filterable by reference (source[+tokens] = tracks citing it), author/location/kind/date/lang. No filter ⇒ recent tracks (date desc).
transcript_windowRead a track's transcript around a time window (from a search track hit or track_list). Widen with pad_ms.
verse_getGet a verse: original (Devanagari/Bengali) + stored IAST transliteration + translation. Address by ref ("BG 2.13"), source+tokens, or verse id.
verse_listList the verses of a book / chapter. Skips .0 chapter summaries; collapses merged verses into one item with a covers span.