fojin — Buddhist Canon Tools

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

使うべきか

品質と安全性

A
説明の品質
89%
スキーマの完全性
77%
命名の品質
90%
ポイズニングのリスク
100%
権限の一致
100%
プロトコルへの準拠
100%

検出事項(1)

  • LOWTool 'lookup_dictionary' description lacks action verblookup_dictionary 内

ツール定義とプロトコルへの準拠に関する自動分析に基づいています。

コンテキストコスト

~1,382トークン数(ツール定義)
~608 B一般的なレスポンスサイズ
注意への影響は中程度(128k コンテキストの 1.08%)

これは、サーバーのツールがモデルのコンテキストに読み込まれるたびに消費されるおおよそのトークン数です。数が多いほど、ほかのタスクに使える注意が減ります。

インストール

ワンクリックインストール

これを `claude_desktop_config.json` ファイルに追加してください:

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

リモートエンドポイント

https://mcp.fojin.ai/mcpstreamable-http

できること

ツール一覧

ツール(8)

🟢 読み取り専用🟡 書き込み🔴 削除⚪ 不明
🟢search_corpus(query, limit, lang)

Semantic 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).

入力スキーマ

{
  "type": "object",
  "properties": {
    "query": {
      "title": "Query",
      "type": "string"
    },
    "limit": {
      "default": 10,
      "title": "Limit",
      "type": "integer"
    },
    "lang": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Lang"
    }
  },
  "required": [
    "query"
  ],
  "title": "search_corpusArguments"
}
🟢read_passage(text_id, juan_num)

Read 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.

入力スキーマ

{
  "type": "object",
  "properties": {
    "text_id": {
      "title": "Text Id",
      "type": "integer"
    },
    "juan_num": {
      "title": "Juan Num",
      "type": "integer"
    }
  },
  "required": [
    "text_id",
    "juan_num"
  ],
  "title": "read_passageArguments"
}
🟢get_parallels(text_id, juan_num)

Cross-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 hundreds. To narrow them to one passage, match the passage against `source_chunks[].text` and keep the parallels whose `aligns_source_chunk` equals that chunk_index. `urn` is filled for parallels that are fojin works; rows with `source="mitra-parallel"` are inline Skt/Tib sentences with no fojin work to cite, so they carry `original_preview` instead and stay `urn: null`.

入力スキーマ

{
  "type": "object",
  "properties": {
    "text_id": {
      "title": "Text Id",
      "type": "integer"
    },
    "juan_num": {
      "title": "Juan Num",
      "type": "integer"
    }
  },
  "required": [
    "text_id",
    "juan_num"
  ],
  "title": "get_parallelsArguments"
}
⚪lookup_dictionary(term, limit)

Look up a Buddhist term across fojin's dictionaries (748K+ entries).

入力スキーマ

{
  "type": "object",
  "properties": {
    "term": {
      "title": "Term",
      "type": "string"
    },
    "limit": {
      "default": 10,
      "title": "Limit",
      "type": "integer"
    }
  },
  "required": [
    "term"
  ],
  "title": "lookup_dictionaryArguments"
}
🟢lookup_entity(query, limit)

Search fojin's knowledge graph for entities — people, places, works, doctrinal terms — matching `query`.

入力スキーマ

{
  "type": "object",
  "properties": {
    "query": {
      "title": "Query",
      "type": "string"
    },
    "limit": {
      "default": 10,
      "title": "Limit",
      "type": "integer"
    }
  },
  "required": [
    "query"
  ],
  "title": "lookup_entityArguments"
}
⚪resolve_urn(urn)

Resolve 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.

入力スキーマ

{
  "type": "object",
  "properties": {
    "urn": {
      "title": "Urn",
      "type": "string"
    }
  },
  "required": [
    "urn"
  ],
  "title": "resolve_urnArguments"
}
🟢verify_quote(quote, cite, juan)

Verify 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 near-miss window when it wasn't. `cite` optionally narrows the search — a CBETA id ("T0374") or fojin URN ("fojin:cbeta/T0374.13") — and `cite_matched` reports honestly whether the quote is where you claimed (a hit in a different fascicle does NOT confirm your citation). Quote must be ≥4 CJK chars after normalisation; Classical Chinese only. Short quotes are answered but say less: a four-character phrase recurs across the canon, so read `cite_matched` rather than `verbatim`, and check `matches_capped` before treating the list as complete. Each match carries an absolute `reader_url` — cite that, not a reconstructed third-party link.

入力スキーマ

{
  "type": "object",
  "properties": {
    "quote": {
      "title": "Quote",
      "type": "string"
    },
    "cite": {
      "anyOf": [
        {
          "type": "string"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Cite"
    },
    "juan": {
      "anyOf": [
        {
          "type": "integer"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "title": "Juan"
    }
  },
  "required": [
    "quote"
  ],
  "title": "verify_quoteArguments"
}
🟢commentaries(quote, limit)

What 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 no other tool exposes for the Chinese canon: CBETA marks up almost none of it, and the alignment behind this was derived text by text. Two things to read carefully rather than skim. `total` is how many commentators the passage actually has — `truncated` says the list you got is a sample. And coverage is partial: roughly half of what a commentator wrote is not aligned, so an absent commentator means "not in the data", never "he said nothing". When nothing matches, `available_sutras` tells you which sūtras have data at all — do not read a miss as silence from the tradition.

入力スキーマ

{
  "type": "object",
  "properties": {
    "quote": {
      "title": "Quote",
      "type": "string"
    },
    "limit": {
      "default": 8,
      "title": "Limit",
      "type": "integer"
    }
  },
  "required": [
    "quote"
  ],
  "title": "commentariesArguments"
}

推奨プロンプト

search_research
Search for information about [topic] using fojin — Buddhist Canon Tools
想定されるツール: search_corpus
find_specific
Find [specific item] using fojin — Buddhist Canon Tools
想定されるツール: search_corpus
retrieve_data
Get details about [item] from fojin — Buddhist Canon Tools
想定されるツール: read_passage
fetch_info
Fetch [information type] using fojin — Buddhist Canon Tools
想定されるツール: read_passage
research_workflow
Search for [topic], then get detailed information about the top results using fojin — Buddhist Canon Tools
想定されるツール: search_corpusread_passage

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