INDIVIDUAL MCP TOOL

papers.list

List all 197 papers in the Urantia Book with their metadata (id, title, partId, labels).

urantia.devnone authenticationAvailability not checked

Input schema

{}

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

CONNECT WITH APPROVAL

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.urantia-papers-api]
url = "https://api.urantia.dev/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "urantia-papers-api": {
      "type": "http",
      "url": "https://api.urantia.dev/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: urantia-papers-api
Remote MCP URL: https://api.urantia.dev/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "urantia-papers-api": {
      "url": "https://api.urantia.dev/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "urantia-papers-api": {
      "type": "http",
      "url": "https://api.urantia.dev/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "urantia-papers-api",
  "transport": "streamable-http",
  "url": "https://api.urantia.dev/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

toc.get — Get the full table of contents of the Urantia Book.
papers.get — Get a single paper with all its paragraphs.
papers.sections — Get all sections within a paper, ordered by section number.
paragraphs.random — Get a random paragraph from the Urantia Book.
paragraphs.get — Look up a specific paragraph by reference.
paragraphs.context — Get a paragraph with surrounding context (N paragraphs before and after within the same paper).
search.fulltext — Full-text search across all Urantia Book paragraphs.
search.semantic — Search the Urantia Book using semantic similarity (vector embeddings).