fojin — Buddhist Canon Tools

Name: fojin — Buddhist Canon Tools
Author: xr843

by xr843version 0.4.0i★ –iRuns in the cloud

Registry nameapp.fojin/fojin-mcp

Install

Overview

Description from the maker (original English)

Buddhist canon tools: search, passages, cross-canon parallels, dictionaries — all URN-cited.

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User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs in the cloud
Transport: Streamable HTTP
Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on the maker’s server: what you ask it goes through their server.
The registry lists no key to fill in.

You need

Runs in the cloudNothing to install; it connects over the internet

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

Open Settings → Connectors
Press Add custom connector
Paste the address below and press Add
If it asks you to sign in, sign in with the maker

https://mcp.fojin.ai/mcp

Run this in your terminal

claude mcp add --transport http fojin https://mcp.fojin.ai/mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "fojin": {
      "url": "https://mcp.fojin.ai/mcp"
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "fojin": {
      "type": "http",
      "url": "https://mcp.fojin.ai/mcp"
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

ChatGPT connects only to servers on the internet:

Open ChatGPT on the web → Settings → Connectors (Apps)
Press Create or Add (some plans need Developer mode under Advanced first)
Paste the address below, give it a name and save
If it asks you to sign in, sign in with the maker

https://mcp.fojin.ai/mcp

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

✓ Pass
Maker matches the repo
The registry name was verified against the domain fojin.app (the registry checks domain ownership)
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
… Not checked yet
Endpoint responds
Not checked yet; we check endpoints in rotation
… Not checked yet
Sign-in with OAuth
Not checked yet; we check endpoints in rotation
… Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint

Compared with others in Search & AI memoryi

More stars than 0% of the other 7245 servers in this category
Published to the registry more recently than 29% of the other 7245 servers in this category
Basic checks equal to or better than 100% of the other 7245 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is fojin — Buddhist Canon Tools safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.4.0) reached the registry 3 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

FoJin 佛津

Ask the Buddhist canon — get cited, verifiable answers.

AI Q&A grounded in the world's largest open aggregation of Buddhist texts: 600+ sources, 30+ languages, trilingual cross-canon retrieval — every answer linked back to its source passage.

Ask a question in plain language and FoJin's assistant "XiaoJin" answers from the canon itself — Retrieval-Augmented Generation over 670K+ embedded passages, optional cross-encoder reranking and root-sutra recall, clickable 【《sutra》juan N】 citations that open the exact source text, anti-hallucination guards, and a citation drawer with side-by-side 汉 / 巴利 / 藏文 cross-canon parallels. You can also ask in the voice of 15 historical Buddhist masters, each scoped to their own tradition's scriptures.

What makes those answers trustworthy is the corpus underneath. FoJin aggregates 612 data sources into one searchable platform — 10,500+ texts with 19,000+ volumes of full content in Classical Chinese, Pali, Tibetan and Sanskrit, the first LLM-driven trilingual cross-canon parallel reading platform (CBETA × SuttaCentral × 84000) with LLM-verified chunk-level alignment, a 110K+ entity knowledge graph on a Deck.GL geo map, and 39 dictionaries with 747K entries. Every feature exists to make the answers more grounded — and to let you go deeper once you have one.

FoJin is built to be open, cross-canon, verifiable Buddhist knowledge infrastructure — not just a site to read, but a corpus other tools can *call*. Every passage carries a stable, resolvable cross-canon URN (fojin:cbeta/T0001.1), and the [`fojin-mcp`](https://pypi.org/project/fojin-mcp/) server lets AI assistants (Claude, ChatGPT, any MCP client) answer from FoJin's cited passages directly — hosted at `mcp.fojin.ai`, anonymous, no key required. Any model can also check its own work through the open [`/api/verify/quote`](https://fojin.app/agents) endpoint: hand it a sentence and a citation, and it answers *is this quote real* and *is the citation right* as two separate questions. See [fojin.app/agents](https://fojin.app/agents).

Live Demo · API Docs · 中文文档 · Discussions · Discord · Report Bug

Why FoJin?

Buddhist texts are scattered across hundreds of databases worldwide — CBETA, SuttaCentral, BDRC, SAT, 84000, GRETIL, and many more. Each has its own interface, language, and data format. When you have a *question* — "what does the Heart Sutra mean by 'form is emptiness'?", "how do the Pali and Chinese versions of this passage differ?" — you spend more time hunting for the right passage than understanding it.

FoJin answers the question for you. Ask in plain language; XiaoJin retrieves the relevant passages from 612 sources and answers with clickable citations you can verify. Everything else FoJin does — full-text reading, cross-canon alignment, the knowledge graph, 39 dictionaries — exists to make those answers more grounded, and to let you go deeper once you have one:

What you need	How FoJin helps
Ask a question, get a sourced answer	AI Q&A ("XiaoJin") — RAG over 670K+ passages, reranking, root-sutra recall, clickable 【《sutra》juan N】 citations, cross-canon citation drawer, anti-hallucination guards
Trust the answer	Verifiable answers — deterministic citation whitelist + verbatim-quote downgrade + per-answer trust state; ~98% of citing answers served-trustworthy at temp 0
Research a hard, multi-step question	Research Assistant (`/research`) — plans across corpus + dictionaries + knowledge graph, then synthesises a cited answer behind the same guards
Call FoJin from an AI assistant	MCP server — hosted at `mcp.fojin.ai` (no install, no key) or `uvx fojin-mcp`; 8 read-only, URN-addressable tools for Claude / ChatGPT
Check whether a quotation is real	Open verbatim verification (`/api/verify/quote`) — for any sentence, not just ours: exact / near-miss / absent, with a character-level diff and the right juan when the citation points at the wrong one
See how the tradition read a passage	Commentary alignment (`/api/commentary/passage`) — for one passage, what the historical commentators wrote on it, anchored to juan and line
Listen while you read	Read-aloud (`/read-aloud`) — sentence-by-sentence highlighting synced to audio, lock-screen playback
Ask in a master's voice	Master Persona Mode — 15 historical masters, each with tradition-scoped RAG
Find a sutra across databases	Multi-dimensional search across 10,500+ texts from 612 sources
Read the full text online	8,900+ texts with 19,000+ volumes of full content, CBETA-style layout
Compare translations	Parallel reading in 30+ languages side by side
Compare sutras across Buddhist canons	Trilingual cross-canon parallel reading — 4,000+ LLM-verified chunk alignments across Chinese / Pali / Tibetan covering Heart Sutra, Vimalakīrti, Lotus Sutra (法华 ↔ Toh 113, 259 pairs), 8,000-verse Prajñāpāramitā (小品般若 ↔ Toh 11, 127 pairs), Satipaṭṭhāna + the full Āgama ↔ Nikāya corpus (MN/DN/SN/AN), Dhammapada
Look up Buddhist terms	39 dictionaries, 747K entries (Chinese/Sanskrit/Pali/Tibetan/English)
Explore relationships	Knowledge graph with 110K+ entities and 27,900+ relations (22K+ lineage chains)
Discover similar texts	Semantic similarity powered by 670K+ embedding vectors (pgvector + HNSW)
Explore Buddhist geography	Knowledge Graph Map — geo-enabled entities, monastery locations, lineage arcs on Deck.GL
Track source updates	Activity Feed — real-time updates from 612 data sources
Explore history visually	Timeline & Dashboard — dynasty charts, translation trends, category analytics
Save and organize	Collections, bookmarks, annotations for personal study
Cite in research	Citation export (BibTeX, RIS, APA) for academic use

Quick Start

git clone https://github.com/xr843/fojin.git

cd fojin cp .env.example .env # edit POSTGRES_PASSWORD before starting docker compose up -d # database migrations run automatically

Then visit: http://localhost:3000

API docs at http://localhost:8000/docs

After first startup, the platform has the database schema and source metadata but no text content. To import texts from public data sources:

# Import CBETA catalog (auto-scans local xml-p5 directory or fetches from remote)

docker exec fojin-backend python scripts/import_catalog.py

Import CBETA full text content (requires xml-p5 repository)

docker exec fojin-backend python scripts/import_content.py --all --xml-dir /data/xml-p5

Generate embeddings for AI Q&A (supports incremental processing)

docker exec fojin-backend python -m scripts.archive.misc.generate_embeddings --source cbeta

Import SuttaCentral Early Buddhist Texts

docker exec fojin-backend python scripts/archive/imports/import_suttacentral.py

See all available importers (one-off importers live under archive/)

ls backend/scripts/archive/imports/

Each importer downloads data directly from the original source (CBETA, SuttaCentral, etc.) — no data is bundled in this repository.

Use FoJin from your AI tools (MCP)

FoJin's verified, cross-canon corpus is callable directly from AI assistants (Claude Desktop, ChatGPT, or any MCP client) via the published [`fojin-mcp`](https://pypi.org/project/fojin-mcp/) server — so the assistant answers Buddhist questions from FoJin's cited passages instead of hallucinating.

Point any MCP client at the hosted endpoint — nothing to install, no key to get:

claude mcp add --transport http fojin https://mcp.fojin.ai/mcp

Or run it locally over stdio against your own instance:

uvx fojin-mcp                 # zero-install run

or: pip install fojin-mcp && fojin-mcp

It exposes eight read-only tools over the public API, each returning passages with a stable, resolvable cross-canon URN (fojin:cbeta/T0001.1):

Tool	What it does
`search_corpus`	Semantic search across the aggregated canon
`read_passage`	Read a specific text / volume
`get_parallels`	Cross-canon parallels (汉 ↔ 巴利 ↔ 藏) for a passage
`lookup_dictionary`	Term lookup across 39 dictionaries
`lookup_entity`	Knowledge-graph entity facts
`resolve_urn`	Resolve a FoJin URN to its source location
`verify_quote`	Verbatim check — is this sentence really in the canon, and really where you said? Answers "is the quote real" and "is the citation right" separately, with a character-level diff when it is close but not exact
`commentaries`	For one passage, what the historical commentators wrote on it — anchored to juan and line

Claude Desktop config and ChatGPT setup are in [`mcp-server/README.md`](mcp-server/README.md). The server is a thin, read-only client: it holds no credentials, bundles no corpus, and only calls FoJin's public endpoints — its default target is https://fojin.app/api, overridable via FOJIN_API_BASE_URL to point at a self-hosted instance.

Features

Multi-Dimensional Search

Search across Buddhist canons by title, translator, catalog number, or full-text keyword. Powered by Elasticsearch with ICU tokenizer for multi-language support.

Full-Text Reading

Read 8,900+ Buddhist texts with 19,000+ volumes of full content online. CBETA-style typography with intelligent verse/prose detection, paragraph reflow, and adjustable font size. Navigate by volume, scroll through content, and jump between related texts.

Parallel Reading (30 Languages)

Compare translations side by side — Classical Chinese, Sanskrit, Pali, Tibetan, English, Japanese, Korean, Gandhari, and 21 more languages.

Dictionary Lookup

32 authoritative dictionaries with 748,000+ entries across Chinese, Pali, Sanskrit, Tibetan, and English:

Chinese Buddhist Dictionaries (14)

NTI Reader (佛学辞典) — 161K entries, Chinese↔English
Suihan Lu (新集藏經音義隨函錄) — 72K entries, Tang dynasty phonetic glossary
Fo Guang (佛光大辭典) — 32K entries
Ding Fubao (丁福保佛学大辞典) — 31K entries
Yiqiejing Yinyi (一切經音義, 慧琳音義) — 23K entries, Buddhist scriptural phonetics
Faxiang Dictionary (法相辭典, 朱芾煌) — 15K entries, Yogācāra terminology
Zhonghua Encyclopedia (中華佛教百科全書) — 6K entries
Common Buddhist Terms (佛學常見詞彙, 陳義孝) — 6K entries
Agama Dictionary (阿含辭典, 莊春江) — 5K entries
Fanfanyu (翻梵語) — 4K entries, Sanskrit-Chinese translation glossary
Xu Yinyi (續一切經音義, 希麟) — 2K entries
Yogācāra Glossary (唯識名詞白話新解) — 2K entries
Sanzang Fashu (三藏法數) — 1K entries
Buddhist Origins of Idioms (俗語佛源) — 567 entries

**Pali Dictionaries

Only the beginning is shown; read the rest in the repo

fojin — Buddhist Canon Tools

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

FoJin 佛津

Ask the Buddhist canon — get cited, verifiable answers.

Why FoJin?

Quick Start

Import CBETA full text content (requires xml-p5 repository)

Generate embeddings for AI Q&A (supports incremental processing)

Import SuttaCentral Early Buddhist Texts

See all available importers (one-off importers live under archive/)

Use FoJin from your AI tools (MCP)

or: pip install fojin-mcp && fojin-mcp

Features

Multi-Dimensional Search

Full-Text Reading

Parallel Reading (30 Languages)

Dictionary Lookup