Urantia Papers
One-click install for Cursor, VS Code, Claude, and 20+ other MCP clients, powered by API Commons MCP Install — visit install.apicommons.org for more information.
Endpoint
Hosted endpoint · transport streamable-http
Connect
This is a remote MCP server — point an MCP client at the endpoint URL. Clients with native remote support (Claude, Cursor, VS Code, …):
For stdio-only clients (older Claude Desktop, etc.), bridge with mcp-remote:
If the server requires authentication, add the provider's token/header (e.g. an X-API-Key) per its docs. A quick reachability check:
Tools
toc.get— Get the full table of contents of the Urantia Papers. Returns the Foreword and the 4 parts, with all 197 papers and their titles.papers.list— List all 197 papers of the Urantia Papers with their metadata (id, title, partId, labels), as a flat list.papers.get— Get a single paper with all its paragraphs. Paper IDs range from 0 (Foreword) to 196. Each paragraph has its reference, section, and plain text, so a whole paper fits in one call. Optionally include entity mentions.papers.sections— Get all sections within a paper, ordered by section number. Useful for understanding paper structure before reading specific sections.paragraphs.random— Get a random paragraph from the Urantia Papers. Great for daily quotes, exploration, or discovering new passages.paragraphs.get— Look up a specific paragraph by reference. Supports three formats: globalId ("1:2.0.1"), standardReferenceId ("2:0.1"), or paperSectionParagraphId ("2.0.1"). The format is auto-detected.paragraphs.context— Get a paragraph with surrounding context (N paragraphs before and after within the same paper). Useful for understanding passages in context.search.fulltext— Full-text search across all paragraphs of the Urantia Papers. Supports three modes: "and" (all words must appear, default), "or" (any word), "phrase" (exact phrase). Results ranked by relevance.search.semantic— Search the Urantia Papers using semantic similarity (vector embeddings). Returns conceptually related results even without exact keyword matches.entities.list— Browse the entity catalog: beings, places, orders, races, religions, and concepts mentioned in the Urantia Papers. Supports filtering by type and searching by name.entities.get— Get detailed information about a specific entity by its slug ID. Returns name, type, aliases, description, related entities, and citation count.entities.paragraphs— Get all paragraphs that mention a specific entity, ordered by position in the text. Useful for studying everything said about a particular being, place, or concept.audio.get— Get the audio file URL for a specific paragraph. Accepts any paragraph reference format (globalId "1:2.0.1", standardReferenceId "2:0.1", or paperSectionParagraphId "2.0.1").bible.books— List all 81 books of the World English Bible (eng-web): 39 Old Testament + 15 deuterocanonical + 27 New Testament. Each entry includes OSIS book code, full name, abbreviation, canonical order, canon, and chapter/verse counts.bible.book— Get metadata for a single Bible book including chapter and verse counts. Accepts OSIS codes ("Gen"), USFM codes ("GEN"), full names ("Genesis"), and aliases ("genesis", "1-maccabees") — case-insensitive, hyphens/underscores tolerated.bible.chapter— Get every verse in a Bible chapter, ordered by verse number. Accepts OSIS, USFM, full name, or alias for `book_code`.bible.verse— Get a single verse from the World English Bible (eng-web). Accepts OSIS, USFM, full name, or alias for `book_code`.bible.verse.urantia_parallels— Returns the top 10 Urantia paragraphs whose embeddings are nearest to the Bible chunk that contains this verse. Pre-computed at seed time with text-embedding-3-large (3072-d) cosine similarity. Each result carries a similarity score (0..1) and rank (1..10). These are semantic neighbors, not a curated list of parallels.bible.search.semantic— Free-form natural-language search across all Bible chunks, ranked by cosine similarity. Each result includes the top-N pre-computed Urantia paragraphs related to that chunk. One query surfaces both Bible matches and the relevant Urantia content. Optional filters: `canon` (`ot`, `deuterocanon`, `nt`) and `book_code`. Set `urantia_parallel_limit` to 0 to leave out the Urantia paragraphs.
About MCP
The Model Context Protocol (MCP) is an open protocol Anthropic introduced for connecting LLM-based agents to external tools and data sources. Providers publish MCP servers that expose their API surface as structured, discoverable tools — an MCP-compatible client (Claude Desktop, Cursor, Cline, Continue, etc.) can connect to the server and call its tools without any per-provider integration code.
Browse every MCP server on the APIs.io network or compare with the broader Agent Skill surfaces of the same providers.
Work with this as data
Every MCP server here is available over the APIs.io API and to AI agents over MCP.