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Urantia MCP server

Which MCP servers are Urantia's own, from the official registry and from asking its own domain, whether they answer, and what they offer. A program checked each of these, nobody copied them from a product page.

read 2026-10-26

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Whose server it is
  • Registry namedev.urantia/urantia-papersverified in the MCP registry

The registry name sits under urantia.dev. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.

When we asked itchecked 2026-10-26
  • Stateanswerschecked 2026-10-26
  • Tools26
  • Server calls itselfUrantia Papers API
  • Server version1.0.0
  • Protocol version2025-06-18

On 2026-10-26 the server answered initialize and tools/list without a sign-in. First answer in 846 ms.

Should an agent connect itNot proven either way yet
  • Its tools do every use case we checked: find passages by keyword or by meaning; let an AI agent look up and follow paragraphs; generate APA or BibTeX citations for passages.
  • Checked on 3 of the 7 days it takes to judge reliability.

Once connected

  • For "find passages by keyword or by meaning", the likely first call is search.fulltext.
  • For "generate APA or BibTeX citations for passages", the likely first call is cite.get.

Said by rules from the measurements above. The likely first call is a model's pick from the tool list; read its description before relying on it.

Measured dailydaily checks: 3, the first on 2026-10-26
  • INITE MCP scoreafter a weeka score needs 7 daily checks: 3 so far
  • What an agent can do with it3 of 3 use cases
  • Use1 GitHub stars
  • Answeredmeasuring3 of the 7 daily checks it takes to print a share
  • Median first answer742 ms
  • Space in an agent's context≈ 5,677 tokensthe definitions of all its tools (26), which an agent carries on every turn
  • Tool definitionsA · 100 of 100
  • Typed results26 of 26 toolsdeclared outputSchema: results come typed, read once
  • Every tool passes all six checks.

What an agent can do with it

  • can do · find passages by keyword or by meaning
  • can do · let an AI agent look up and follow paragraphs
  • can do · generate APA or BibTeX citations for passages

Each of the product's use cases, put to Jev against this server's tool list: can an agent do it with these tools?

Worth a look

None of the five warning signs in these definitions.

A program checks the server once a day: initialize and tools/list, no model. Tokens are the definitions' length at about four characters a token. The grade averages six checks of every tool's name, description, schema and annotations; it says how well the tools are described, not whether they work. The score weighs what was measured and nothing else: answering (25%), doing the product's job (25%), definitions (20%), context (10%), use (10%) and how readily a client connects (10%). A part that was not measured is left out, and a hidden instruction caps the score at 40. The state of vendors' MCP servers: method and numbers →

Tools it offers26 tools · read 2026-10-26
  • 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. `paper.audio` is one audio file of the whole paper (null…

  • 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

    Keyword search across all paragraphs of the Urantia Papers. Mode "auto" (default): a reference such as "68:6.3", "103:2", "Paper 68", or a bare number such as "68" (0 to 196) gives those paragraphs; otherwise the exact phrase first, then…

  • search.semantic

    Search the Urantia Papers using semantic similarity (vector embeddings). Returns conceptually related results even without exact keyword matches. A reference such as "99:1.1" gives those paragraphs; a pasted paragraph gives itself first…

  • 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…

  • 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…

  • works.list

    The works beside the Urantia Papers: the Bible (World English Bible) and 21 texts of the world's religions and traditions, each in the US public domain. `id` is what the other works.* tools take ("bible" or a slug such as "dhammapada")…

  • works.search

    Keyword search across the Bible and the other works, or one work with `work`. A reference such as "John 3:16", "Jn 3:16-18", "Dhp 183", or "BG 2.47" gives those units first. Otherwise the exact phrase first, then every word, then (when…

  • works.search.semantic

    Natural-language search across the Bible and the other works, or one work with `work`. The list holds the 100 nearest chunks (a few verses each); each has `similarity` and `strength` (strong, related, weak), and `meta.total` is the length…

  • works.read

    The units of a reference in one work, in order, at most 200, each with its link: one verse or passage, a short range of up to 50, or a chapter. The prefix is optional ("BG 2.47" and "2.47" are the same); for the Bible, name the book…

  • works.urantia_parallels

    The 10 Urantia paragraphs closest in meaning to one unit of a work (the chunk that holds it). Semantic parallels, not curated ones: they do not claim that two teachings are the same. The reference must name one unit.

  • quotes.verify

    Checks whether a quoted passage is in the Urantia Papers. Returns `verdict` (exact, close, not_found), the reference and exact text of the best match, each word that differs, and other places the quote appears. Case and punctuation are…

  • cite.get

    A formatted citation of one paragraph of the Urantia Papers in APA, MLA, Chicago, or BibTeX. The ref is "196:2.1", "1:196.2.1", or "196.2.1".

How to connect

Add the server to your MCP client config. Claude Desktop, Cursor and most other clients read this shape:

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

Add it

Claude Code, in a terminal

claude mcp add --transport http urantia https://api.urantia.dev/mcp

Add to CursorAdd to VS Code

claude.ai, ChatGPT and other clients: add https://api.urantia.dev/mcp as a custom connector in the settings.

Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.