# Urantia Papers

> Urantia Papers — urantiahub-urantia-papers. Use this tool when you need to explore and analyze the teachings of The Urantia Papers, a spiritual and philosophical text. It provides full-text search, entity browsing, and paper navigation, solving problems of information discovery and contextual understanding. With interfaces for searching, retrieving, and summarizing content, use it to delve into the papers' 4,400+ entities, 1,626 sections, and 14,500+ paragraphs.

Canonical page: https://skillsregistry.net/skills/urantiahub-urantia-papers  
JSON: https://api.skillsregistry.net/v1/skills/urantiahub-urantia-papers

## Description

A free, open MCP server for **The Urantia Papers** — 197 papers, 1,626 sections, 14,500+ paragraphs, 4,400+ entities. No
authentication required.

## Tools (13)

- `search` / `semantic_search` — full-text + vector similarity search across all paragraphs
- `get_paragraph` / `get_paragraph_context` — look up by reference (auto-detects 3 ID formats), with optional
surrounding context
- `get_paper` / `get_paper_sections` / `get_table_of_contents` — paper-level navigation
- `list_entities` / `get_entity` / `get_entity_paragraphs` — browse 4,400+ entities (beings, places, concepts, etc.)
- `get_random_paragraph` — daily quotes, exploration
- `get_audio` — paragraph-level TTS audio URLs

## Resources

- `urantia://paper/{id}` — full paper rendered as markdown for RAG/summarization
- `urantia://entity/{id}` — entity description with all paragraph references

## Prompts

- `study_assistant` — primes the model as a Urantia Papers study guide (optional topic arg)
- `comparative_theology` — structured comparison between Urantia teachings and another tradition

## Try it

Ask Claude to compare what the Urantia Papers teaches about the soul with Stoic philosophy, or explain Paper 1 in plain language with paragraph citations.

Backed by Postgres + pgvector with semantic search, deployed on Cloudflare Workers. MIT licensed; all content (audio, embeddings, AI-generated content) dedicated to the public domain via CC0.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/urantiahub/urantia-papers)

## 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": "urantiahub-urantia-papers"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/urantiahub-urantia-papers` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/urantiahub-urantia-papers/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