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Tripitaka MCP

io.github.dhamma-seeker/tripitaka-mcp
MCP server for the full Pāli Canon — search, cite, compare translations. Offered as Dhamma Dāna.
healthy
status
13
tools exposed
3356ms
connect latency
6f08247cc877
schema fingerprint

Tools (13)

search_by_keyword
Keyword search across the Pāli Tipiṭaka (trigram word-similarity). Searches the configured enabled language(s) on the server. Filterable by pitaka and translation edition. 💡 **Hints for the AI client:** The system's canonical reference is Romanised Pāli (from SuttaCentral). If the user asks in a d
survey_corpus
Exhaustively survey the WHOLE Tipiṭaka for a term — guaranteed complete. Use this (not `search_by_keyword`) when the question is about **coverage or counting** rather than "show me the best passages": - "How many times does Kusinārā appear in the canon?" - "Every place ānāpānassati is mentioned — d
get_sutta
Fetch a sutta's content — OR its table of contents (`mode="outline"`). ⚡ **Decide which mode BEFORE calling — don't fetch the whole sutta and parse it yourself:** - The user wants the **structure / outline / table of contents**, or asks **"how many sections/parts"** / "what's in it" → call `get
search_semantic
Semantic search — match by meaning, not exact words. Uses vector similarity (cosine distance) over `text_pali` embedded with a multilingual MiniLM model. 🤔 **In most cases you should use `search_hybrid` instead** — it combines this semantic search with keyword search and ranks better. Use this too
search_hybrid
Hybrid search — combines keyword + semantic search via RRF. Uses Reciprocal Rank Fusion (RRF) to merge exact-word results with meaning-based results. **This is the recommended tool for "discourses about X" / concept queries**, because the semantic side catches suttas that discuss a concept using di
list_structure
Show the structure of all three pitakas with coverage statistics. 💡 **Use this tool when:** - The user asks for an overview of the Tipiṭaka (what's in it / which collections). - You need to check coverage before promising a search will find something — `segment_count > 0` is the active-loaded s
get_reference
Build a proper citation string for a sutta. 💡 **Use this tool when:** - The user wants a citation for academic work, an article, or a reference. - You need to know the canonical location of a sutta (pitaka / nikāya). - You want a ready-to-use formatted citation string. 🔗 vs `get_sutta`: this tool
list_editions
List the translation editions available, with coverage stats. 💡 **Use this tool when:** - Before calling `compare_translations` or `get_sutta(edition=...)`, so you know which edition values are valid and worth comparing. - The user asks which editions are loaded in the DB. 🔍 **Filtering:** Filte
compare_translations
Compare every available translation for a single segment. 💡 **Use this tool when:** - The user asks about the meaning/translation of a single Pāli line and wants to see multiple translators side-by-side. - Checking how different translators interpret the same line — technical terms like `dukkha
get_word_definition
Look up the dictionary meaning of a Pāli word, with sutta context. Serves as a Pāli Dictionary Bridge — pairs the "definition" with the "context where the Buddha actually used the word". 📖 **About the dictionary sources:** This tool draws from multiple primary dictionaries, including "พจนานุกรมพุท
define_from_suttas
Find how the **suttas and Vinaya define a Pāli term in their own words**. The canon defines its own terms with fixed formulas — "Katamañca … dukkhaṁ?" (what is X?) … "ayaṁ vuccati … dukkhaṁ" (this is called X), "X adhivacana" (X is a designation for …), or the Vinaya "X nāma". This tool locates tho
parse_pali_word
Strip Pāli inflectional suffixes to find the root form (basic stem). 💡 **Use this tool when:** - You find an inflected Pāli word (e.g. `dukkhassa`, `bhikkhūnaṁ`) and `get_word_definition` doesn't find it directly — Pāli inflects nouns across 7 cases × 2 numbers, ~16 forms per root. - You want t
open_sutta_viewer
Open an interactive sutta viewer inside the chat — Pāli + English, plus an optional third row in the user's own language translated BY YOU. Renders each segment as: Pāli on top (canonical), the Bhikkhu Sujato English below it (verification anchor), and — when you supply `translations` — your transl

Endpoint

https://mcp.tripitaka-mcp.com/mcp
Category: AI & LLM · Last checked: 2026-08-15T09:51:37Z

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