MCP server

fojin — Buddhist Canon Tools Official

app.fojin/fojin-mcp

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

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

Website Source

At a glance

Type

MCP server

Publisher

fojin.app (verified by the MCP Registry)

Status

Working at last check

Tools

8

Token cost

About 1,587 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

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

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.fojin-mcp]
url = "https://mcp.fojin.ai/mcp"

Gemini CLI

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

Cursor

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

VS Code

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

Antigravity

agy mcp add fojin-mcp https://mcp.fojin.ai/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"fojin-mcp","server_url":"https://mcp.fojin.ai/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"fojin-mcp","server_url":"https://mcp.fojin.ai/mcp"}

Tools

• commentaries ~335 tokens
  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 othe
• get_parallels ~275 tokens
  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 hundr
• lookup_dictionary ~90 tokens
  Look up a Buddhist term across fojin's dictionaries (748K+ entries).
• lookup_entity ~100 tokens
  Search fojin's knowledge graph for entities — people, places, works, doctrinal terms — matching `query`.
• read_passage ~132 tokens
  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.
• resolve_urn ~92 tokens
  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.
• search_corpus ~179 tokens
  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).
• verify_quote ~384 tokens
  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 nea

Browse

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