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Dhamma.Gift — Pāli Canon

by dhammagiftversion 1.0.0i★ –iRuns in the cloud
Registry namegift.dhamma/pali-canon

Install

Overview

Description from the maker (original English)

Search and read the Pāli Canon: Pāli root texts with Russian and English translations.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

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

You need

Which app do you use?

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

Works in Claude on the web, desktop and mobile:

  1. Open Settings → Connectors
  2. Press Add custom connector
  3. Paste the address below and press Add
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Add2https://…3
https://api.dhamma.gift/mcp

Run this in your terminal

claude mcp add --transport http pali-canon https://api.dhamma.gift/mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "pali-canon": {
      "url": "https://api.dhamma.gift/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": {
    "pali-canon": {
      "type": "http",
      "url": "https://api.dhamma.gift/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:

  1. Open ChatGPT on the web → Settings → Connectors (Apps)
  2. Press Create or Add (some plans need Developer mode under Advanced first)
  3. Paste the address below, give it a name and save
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Create2https://…3
https://api.dhamma.gift/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

Tool names and descriptions exactly as the server reported them on Nov 7, 2026. The maker wrote them, not us; we show them as plain text.

  • search

    Search the Pali Canon on dhamma.gift by keyword/substring or REGEX (min 3 letters, no semantic search). Patterns like "kata.*dukkha", "vucc.*dukkha", "katha.*dukkha" find the canon's own definitions and expositions of a term. Returns a CENSUS of every matching sutta — id, title,

  • get_text

    Fetch a sutta by id (e.g. "dn22", "mn1", "sn56.11") — the Pali text (Mahāsaṅgīti) of every segment. Pali only by default; pass langs for translations, translators to name a translator (e.g. ["en_sujato"]), editions for the whole text of other Pali editions line by line (DN, MN, S

  • compare_editions

    Compare the Pali Canon's editions line by line: the Mahāsaṅgīti beside Buddha Jayanti (Sri Lanka), Chaṭṭha Saṅgāyana (Myanmar), Siam Rath (Thailand), the printed Mahāsaṅgīti of 2005 and the PTS editions (DN, MN, SN, AN). Give a sutta ("sn56.11"), a line ("dn22:18.1") or a range (

  • compare_translations

    One segment of the canon in the Pali root and every available translation side by side. Use a segment id from search/get_text, e.g. "mn129:21.3". Sujato (en_sujato) is excluded unless named in translators.

  • list_structure

    What texts exist. Without arguments: collections (sutta/vinaya/abhidhamma/khuddaka), books by id prefix with sutta counts, and translation languages with translators. With prefix (e.g. "mn", "sn56", "an4"): the suttas under it with titles.

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 9, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified against the domain dhamma.gift (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

  • ✓ Pass

    Endpoint responds

    Responded in 595 ms (HTTP 200)

  • – Not applicable

    Sign-in with OAuth

    No sign-in needed

  • ✓ Pass

    No hidden instructions in tool descriptions

    Read 5 tool descriptions and found no hidden instructions to the AI

Compared with others in Search & AI memoryi

  • More stars than 0% of the other 5760 servers in this category
  • Published to the registry more recently than 63% of the other 5760 servers in this category
  • Basic checks equal to or better than 100% of the other 5760 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 Dhamma.Gift — Pāli Canon safe?

It passed 3 of 3 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 (1.0.0) reached the registry 23 days 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

Alternatives

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Exa

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Runs in the cloud✓ exa.ai

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.

dg-node

Node.js backend for searching and reading Pāli Canon texts using SuttaCentral Bilara and DhammaGift translations.

This project powers the search index, reader endpoints, static assets, and compatibility layer for the legacy Dhamma.Gift stack. The production server runs on Fastify; the older Express-based implementation is kept only for legacy support.

Architecture and development rules: CLAUDE.md

Features

  • Search across the Pāli Canon with SQLite/FTS5
  • Reader routes for clean URLs such as /dn22 and /dn22:12.1
  • Segment-aware links and scroll targets
  • Support for offline mirror data and environment-based path resolution
  • Legacy compatibility with older PHP/Apache frontends

Quick start

git pull

npm install npm run build-search-db # build dg.db (SQLite/FTS5) from fresh Bilara data npm start # run the production server (dg-fastify.js), port 3000

build-search-db should be rerun whenever source texts or translations change on disk. The server reads data directly from disk and rebuilds the search index as needed.

Data paths such as SC_BILARA, DG_OFFLINE, and offline mirrors are resolved automatically based on the runtime environment (Termux, Windows development, local server, etc.).

unused/dg-light.js and unused/dblight.js (npm run start:express) are legacy Express + grep services and are not used in production. See CLAUDE.md for details.

Deployment checks

curl "http://localhost:3000/search?q=kacchapa&scope=dhamma&langs=ru,en"

curl -I "http://localhost:3000/assets/js/datatables/datatables.min.js" # 200 from public/overrides/js/datatables, not from the legacy repo curl -I "http://localhost:3000/dn22" # reader via clean URL curl -I "http://localhost:3000/dn22:10.5" # segment link (scroll to 10.5)

Manual browser checks:

  • /nodejs/res/?q=kacchapa&scope=dhamma — search, DataTables, export
  • /dn22 — full-text reader
  • Pāli / Russian toggle (three modes: Pāli + translation → Pāli only → translation only) — should actually hide/show content correctly
  • /?q=dn22#12.1 (legacy format) — should continue to work alongside /dn22:12.1

Deployment notes for Apache/PHP

If the public Dhamma.Gift site is currently hosted by Apache/PHP while Node runs as a separate backend proxied only to /search, note the following:

  • search requests may route to the Node backend
  • static files and reader routes may still be served by Apache/PHP
  • root-domain routing can differ from the local development environment
  • dg-fastify is the modern backend, while legacy PHP pages remain in parallel for compatibility

Project structure

dg-fastify.js         — production server (Fastify + SQLite/FTS5, dg.db): /search, /api/text/:suttaId,

static files (search/, reader/, siteroot/assets/), offline mirrors, clean URLs (/dn22, /dn22:12.1) unused/dg-light.js — legacy Express + grep server, not used in production (see CLAUDE.md) unused/dblight.js — build script for dg-light.js → dg_db_light.json (legacy, not needed with dg.db) search/ — search page (DataTables); legacy URL remains /nodejs/res/... (see CLAUDE.md) reader/ — reader frontend (reader-template.html + megareader.js) configs/ — project JSON configs (openapi, reader/*, search/*), see CLAUDE.md docs/ — project documentation and compatibility notes (SPA plans, backward compatibility) siteroot/ — root-site publication: assets/ (legacy assets), 4nt/config/login/, memo/read (legacy tools), see CLAUDE.md

License

See the repository license and project-specific notes in the root of the project.

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