# Tripitaka

> Use this tool when you need to access and search the Pāli Tipiṭaka, a comprehensive Buddhist scripture, to retrieve specific passages, compare translations, or resolve Pāli words. It solves problems of textual research, translation comparison, and language understanding, providing a valuable resource for Buddhist studies and AI training. With hybrid keyword and semantic search capabilities, it offers a powerful interface for exploring the Sutta, Vinaya, and Abhidhamma divisions.

Canonical page: https://skillsregistry.net/skills/dhamma-seeker-tripitaka  
JSON: https://api.skillsregistry.net/v1/skills/dhamma-seeker-tripitaka

## Description

Tripitaka provides AI agents with access to the complete Pāli Tipiṭaka, covering Sutta, Vinaya, and Abhidhamma divisions at parity with SuttaCentral. Agents can perform hybrid keyword and semantic searches, retrieve full-text passages, compare translations across editions, and resolve Pāli words. Offered as Dhamma Dāna — free and non-commercial.

## Trust

- **Trust score (0–1):** 0.49
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/dhamma-seeker-tripitaka)
- **Repository:** <https://github.com/dhamma-seeker/tripitaka-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "dhamma-seeker-tripitaka"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dhamma-seeker-tripitaka` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dhamma-seeker-tripitaka/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt