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Buddhist canon tools: search, passages, cross-canon parallels, dictionaries — all URN-cited.
选择你使用的 AI 应用,然后复制设置。
通过 5/5 项检查 · 你的提问会经过开发者的服务器(mcp.fojin.ai) · ✓ 命令已检查 2026年11月13日
第一步:你用哪个 AI?
选择你用的应用,步骤会显示在下方。
可连接 Claude · 约 2 分钟
不需要密钥,不用安装程序 · 在 claude.ai 或桌面应用设置一次,即可在聊天中使用 · 免费账户可添加 1 个 · Team/Enterprise 方案由所有者(Owner)添加
CustomizeConnectors
把这里的内容复制到 Claude 中同名的输入框,然后点击 Continue
fojin — Buddhist Canon Toolshttps://mcp.fojin.ai/mcp在 Claude 检测到的登录设置页点击 Continue · Authentication 按作者说明选择(Sign in now、Sign in when needed 或 No sign in),然后点击 Add
+Connectorsfojin — Buddhist Canon Tools
用 fojin — Buddhist Canon Tools 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Claude 说正在使用 fojin — Buddhist Canon Tools,或回答中出现 fojin — Buddhist Canon Tools 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同
能否连接 ChatGPT 取决于方案
完整 MCP:网页版 ChatGPT Business、Enterprise 或 Edu · Pro:以读取/获取权限连接,修改数据的工具可能用不了 · Plus:官方文档尚未确认,如果在插件页看到添加自定义 MCP 的选项可以试试 · 仅限网页
Plugins+Add custom MCP server
输入名称,在 Connection 下粘贴地址,勾选风险提示,然后点击 Create as a plugin
fojin — Buddhist Canon Toolshttps://mcp.fojin.ai/mcp开启新聊天,输入前先从插件列表中选择 fojin — Buddhist Canon Tools
用 fojin — Buddhist Canon Tools 告诉我你能帮我做什么,然后做一件给我看✓ 如果 ChatGPT 说正在使用 fojin — Buddhist Canon Tools,或回答中出现 fojin — Buddhist Canon Tools 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 OpenAI 帮助页面核实 · 你的界面可能因版本略有不同
可连接 Claude Code · 约 2 分钟
不需要密钥,不用安装程序
Mac:按 Command+空格,输入 Terminal · Windows:打开 PowerShell
claude mcp add --transport http --scope user fojin https://mcp.fojin.ai/mcp应能看到 fojin — Buddhist Canon Tools 在列表中并显示已连接
用 fojin — Buddhist Canon Tools 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Claude Code 说正在使用 fojin — Buddhist Canon Tools,或回答中出现 fojin — Buddhist Canon Tools 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同
可连接 Cursor · 约 2 分钟
不需要密钥,不用安装程序
用 fojin — Buddhist Canon Tools 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Cursor 说正在使用 fojin — Buddhist Canon Tools,或回答中出现 fojin — Buddhist Canon Tools 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Cursor 帮助页面核实 · 你的界面可能因版本略有不同
可连接 VS Code · 约 2 分钟
不需要密钥,不用安装程序
用 fojin — Buddhist Canon Tools 告诉我你能帮我做什么,然后做一件给我看✓ 如果 VS Code 说正在使用 fojin — Buddhist Canon Tools,或回答中出现 fojin — Buddhist Canon Tools 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 VS Code 帮助页面核实 · 你的界面可能因版本略有不同
其他支持 MCP 的应用(如 Windsurf、Zed、Gemini CLI)添加方式各不相同,请在应用列表中查看
通过网页连接的应用使用的地址
https://mcp.fojin.ai/mcpJSON 设置在下方“开发者专用”中
Claude Code
claude mcp add --transport http --scope user fojin https://mcp.fojin.ai/mcpCursor (~/.cursor/mcp.json)
{
"mcpServers": {
"fojin": {
"url": "https://mcp.fojin.ai/mcp"
}
}
}VS Code (mcp.json)
{
"servers": {
"fojin": {
"type": "http",
"url": "https://mcp.fojin.ai/mcp"
}
}
}这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
依据这个服务器的连接方式和各应用自己的文档,检查于 2026年11月10日。
通过互联网连接,适用于
ClaudeChatGPTGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast
工具名称和描述与服务器在 2026年11月15日 报告的完全一致。这些内容由作者撰写,不是我们写的;我们以纯文本形式显示。
search_corpusSemantic search across fojin's Buddhist corpus (10K+ texts, 30+ langs). Returns the most relevant passages, each with a `urn`, title, snippet and similarity score. `lang` optionally filters by language code (lzh=Classical Chinese, pi=Pali, sa=Sanskrit, bo=Tibetan, en=English).
read_passageRead the full content of one fascicle (卷) of a text, with its `urn`. Use the `text_id`/`juan_num` from a search_corpus hit. Returns the actual canonical text — quote from this, not from memory.
get_parallelsCross-canon parallel passages aligned to a fascicle. fojin's alignment moat: given a Chinese fascicle, returns the aligned Pali/Tibetan/Sanskrit parallels so you can compare how a passage is rendered across traditions. A fascicle returns parallels for the *whole* juan — often hun
lookup_dictionaryLook up a Buddhist term across fojin's dictionaries (748K+ entries).
lookup_entitySearch fojin's knowledge graph for entities — people, places, works, doctrinal terms — matching `query`.
resolve_urnResolve a fojin URN (e.g. fojin:cbeta/T0001.1) to a reader URL and confirm it exists in the corpus. Use to verify or dereference a citation.
verify_quoteVerify that a Buddhist-canon quote exists VERBATIM in the corpus. Call this before presenting any quoted scripture to a reader: LLMs routinely invent plausible-looking quotes. Returns `verbatim` (bool), where it was found (`matches`, each with a resolvable `urn`), or the closest
commentariesWhat the historical commentators said about a passage of Buddhist scripture. Give a line of a sūtra and get back the classical commentaries that gloss it — each with the commentator's own words, the work it comes from, a quality tier, and a resolvable citation. This is the layer
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月16日
注册名称已通过域名 fojin.app 验证(注册中心会核实域名所有权)
代码最后更新于昨天
使用 Apache-2.0
在 575 毫秒内响应(HTTP 200)
无需登录
已读取 8 个工具描述,未发现针对 AI 的隐藏指令
提问、分享技巧或报告无法使用。按“有帮助”数量排序。
还没有评价
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 5 项适用的基础检查中通过了 5 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。
GitHub 仓库最后更新于昨天,最新版本(0.4.0)于3个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,因此也能用于接受远程 MCP 的应用,例如网页版 ChatGPT(Business 及以上为完整 MCP;Pro 为只读)。
同一分类中有:OpenSEO, Exa, Mockserver, Microsoft Learn MCP, Docs
同一分类、其他作者、命令已通过检查。官方的排在前面,再按星标排序。
如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
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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
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 |
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
docker exec fojin-backend python scripts/import_content.py --all --xml-dir /data/xml-p5
docker exec fojin-backend python -m scripts.archive.misc.generate_embeddings --source cbeta
docker exec fojin-backend python scripts/archive/imports/import_suttacentral.py
ls backend/scripts/archive/imports/
Each importer downloads data directly from the original source (CBETA, SuttaCentral, etc.) — no data is bundled in this repository.
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
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.
Search across Buddhist canons by title, translator, catalog number, or full-text keyword. Powered by Elasticsearch with ICU tokenizer for multi-language support.
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.
Compare translations side by side — Classical Chinese, Sanskrit, Pali, Tibetan, English, Japanese, Korean, Gandhari, and 21 more languages.
32 authoritative dictionaries with 748,000+ entries across Chinese, Pali, Sanskrit, Tibetan, and English:
Chinese Buddhist Dictionaries (14)
**Pali Dictionaries