AptLynxMCP server
Tripitaka MCP
io.github.dhamma-seeker/tripitaka-mcp
Checked 28 Oct 2026, 09:03 UTC · Not tested (older connection type)
MCP server for the full Pāli Canon — search, cite, compare translations. Offered as Dhamma Dāna.
Not checked14 tools
https://mcp.tripitaka-mcp.com/sse
At a glance
- Type
- MCP server
- Publisher
- Not verified
- Status
- Not checked
- Tools
- 14
- Last checked
- 28 Oct 2026, 09:03 UTC
Tools
compare_translations~384 tokens
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 `dukkhdefine_from_suttas~759 tokens
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 thoget_reference~190 tokens
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 tooget_sutta~1142 tokens
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 `getget_word_definition~455 tokens
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 "พจนานุกรมพุlist_editions~231 tokens
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:** Fillist_structure~531 tokens
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-loadedopen_sutta_viewer~860 tokens
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 bilara-data English below it (verification anchor), and — when you supply `translations` — your translatiparse_pali_word~429 tokens
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 wantsearch_by_keyword~912 tokens
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 asearch_hybrid~715 tokens
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 disearch_semantic~566 tokens
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 tosurvey_corpus~860 tokens
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 — dverify_quote~591 tokens
Verify, check, or confirm a Buddha quote — does the canon really say it? Fact-check a quotation attributed to the Buddha. Catches fake, misquoted, misattributed and misremembered passages, and finds the true reading. Paste a line that has been quoted or half-remembered — Pāli or English — and this
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