# masnavi MCP server

Rumi's complete Masnavi (25,635 beyts) — search, quote, verify and explain. Free, no auth.

## Links
- Registry page: https://www.getdrio.com/mcp/ai-masnavi-masnavi
- Repository: https://github.com/shahhoseini/masnavi-mcp
- Website: https://masnavi.ai

## Install
- Endpoint: https://masnavi.ai/mcp
- Auth: Not captured

## Setup notes
- Remote endpoint: https://masnavi.ai/mcp

## Tools
- search - Full-text search across the Masnavi. Returns beyts that contain the query terms, ranked by relevance. Useful for finding where a theme, word, or phrase appears. Endpoint: https://masnavi.ai/mcp
- search_meaning - Semantic search: find the beyts closest in MEANING to the query, in ANY language — English, Persian, Spanish, Turkish, Arabic, … . Use this when you have a theme, feeling, or idea rather than exact Persian words (e.g. 'feeling separated from your origin' → M1:1). Each hit carries a cosine-similarity score. status='unavailable' means the vector index is not built yet — fall back to `search`. Endpoint: https://masnavi.ai/mcp
- lookup - Fetch a specific beyt by its citation (e.g. 'M3:1278'), by daftar+beyt number, or by global beyt index. Optionally include surrounding beyts for context. Endpoint: https://masnavi.ai/mcp
- verify - Given a candidate quote attributed to Rumi's Masnavi, check whether it actually appears. Returns status='exact' (with citation), 'fuzzy' (with similar candidates), or 'not_found'. USE THIS BEFORE QUOTING RUMI to avoid hallucination. Endpoint: https://masnavi.ai/mcp
- get_section - Retrieve a full section (story / بخش) with all its beyts. Endpoint: https://masnavi.ai/mcp
- table_of_contents - Browse the Masnavi's section list. Returns titled sections per daftar with beyt counts and ranges. Endpoint: https://masnavi.ai/mcp
- random_beyt - Return a randomly-selected beyt, optionally restricted to a daftar. Endpoint: https://masnavi.ai/mcp
- get_range - Fetch ALL beyts between two endpoints, inclusive, grouped by section. Use this — NOT many calls to get_section or lookup — when a user asks for a full story, a long passage, or a sequence of beyts spanning multiple sections. Endpoints are canonical citations like 'M2:2608' and 'M2:2775', or global indices via start_global / end_global. Max range: 500 beyts. Endpoint: https://masnavi.ai/mcp
- find_sections - Find sections (stories) by TITLE. Exact words first (phrase, then AND-of-tokens); when NO title contains the words, falls back to MEANING matches in any language (hits carry match='meaning' + a cosine score — verify with get_section before relying on one). Each match includes `first_citation` and `last_citation` — ready-to-use canonical citations (e.g. 'M2:2608'). To read a whole multi-section story, call get_range with the FIRST match's `first_citation` as start and the LAST match's `last_citation` as end. Do NOT construct a citation from `first_beyt_global` — that is a GLOBAL index (1..25635), not a daftar-local beyt number. Example: find_sections('ابلیس معاویه', daftar=2). Endpoint: https://masnavi.ai/mcp
- explain - Get commentary (Persian + English) for a specific beyt of the Masnavi, attributed to a primary source (e.g. Abdolkarim Soroush's lectures). Returns the beyt text along with structured commentary entries. Each entry has source, author, language, body markdown, and confidence ('ai-draft' / 'reviewed' / 'verbatim'). Use this when a user asks 'what does this beyt mean' or 'what does <scholar> say about M1:1'. Endpoint: https://masnavi.ai/mcp
- search_divan - Full-text search across the 34,603 beyts of the ghazals of the Divan-e Shams (Divan-e Kabir) — Rumi's lyric work, distinct from the Masnavi. Returns beyts with divan citations (G{ghazal}:{beyt}, e.g. G1393:1). Use when you know the exact Persian words; use search_divan_meaning for a theme in any language. Endpoint: https://masnavi.ai/mcp
- search_divan_meaning - Semantic search over the Divan-e Shams ghazals: given a theme, feeling, or idea in ANY language, returns the GHAZALS closest in meaning — each with its best-matching couplet as a preview and a cosine score. Both couplet-level and whole-ghazal vectors are searched, so a ghazal whose overall theme matches is found even when no single couplet does. Fetch a full ghazal with get_ghazal. status='unavailable' means the index is not built — fall back to search_divan. Endpoint: https://masnavi.ai/mcp
- get_ghazal - Fetch ONE complete ghazal of the Divan-e Shams by its canonical number (1..3230) or citation ('G1393' / 'G1393:2'). Returns every beyt plus prev/next ghazal numbers. Famous example: get_ghazal(1393) = «مرده بدم زنده شدم…». Endpoint: https://masnavi.ai/mcp

## Resources
- masnavi://about - MIME type: text/plain
- masnavi://schema - MIME type: text/plain

## Prompts
- explicate - Explicate a single beyt: its plain meaning, imagery, and Sufi themes, grounded in the corpus and any recorded commentary. Arguments: citation
- find_parallels - Find and synthesize passages across the Masnavi that develop a given theme, image, or idea. Arguments: theme
- trace_story - Locate a named story/parable in the Masnavi and read it end to end before discussing it. Arguments: name

## Metadata
- Owner: ai.masnavi
- Version: 1.0.0
- Runtime: Streamable Http
- Transports: HTTP
- License: Not captured
- Language: Not captured
- Stars: Not captured
- Updated: Jun 12, 2026
- Source: https://registry.modelcontextprotocol.io