MCP server

Vela Corpus Official

study.vela/corpus

Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools

Read-only MCP access to Vela's corpus of human experience: cited passages, coordinates, reading path

Website Source

At a glance

Type

MCP server

Publisher

vela.study (verified by the MCP Registry)

Status

Working at last check

Tools

10

Token cost

About 2,436 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

25 Oct 2026, 20:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http corpus https://vela.study/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.corpus]
url = "https://vela.study/mcp"

Gemini CLI

{"mcpServers":{"corpus":{"httpUrl":"https://vela.study/mcp"}}}

Cursor

{"mcpServers":{"corpus":{"url":"https://vela.study/mcp"}}}

VS Code

{"servers":{"corpus":{"type":"http","url":"https://vela.study/mcp"}}}

Antigravity

agy mcp add corpus https://vela.study/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"corpus","server_url":"https://vela.study/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"corpus","server_url":"https://vela.study/mcp"}

Tools

• vela.corpus.describe_topic ~168 tokens
  Describe ONE topic in full — its axes and their operative definitions, its complete controlled theme and quality vocabularies, plus the vocabulary actually IN USE across the corpus with counts. The declared vocabulary and the used vocabulary are different facts; this returns both. FREE and read-only
• vela.corpus.ground_claim ~198 tokens
  Ground a claim in the corpus: hybrid semantic + theme retrieval over real passages, returning citations with source, passage code, scores, and a SHORT snippet. Use to check whether the corpus supports, complicates or is silent on an assertion. COSTS a small amount (one embedding per call). [capabil
• vela.corpus.list_topics ~126 tokens
  List the coordinate systems the corpus can be queried through — each with its thesis, axes, and controlled vocabularies. Call this before vela.corpus.query to learn what axes and themes exist. FREE and read-only. [capability: topic-coordinate-systems · mirrors: GET /api/corpus/topics]
• vela.corpus.query ~440 tokens
  Ask the corpus by COORDINATE rather than keyword. Filter works by axis weights (e.g. religion ∈ {T,s} AND work ∈ {T,s} returns the God-and-Work source set across genres), controlled themes, qualities/emotions, genre, and free text. Returns card metadata: the one-line claim, themes, coordinates, qual
• vela.corpus.witness ~517 tokens
  Literary Witness Rail (ASN-1577): return passages and one-line claims from Vela's 762-work corpus that illuminate the given themes and/or emotions. Designed for frame-family profile pages — PersonFrame × ProblemFrame × ConditionFrame — to add an inside-out layer (what writers who lived this say) alo
• vela.library.reading_list ~216 tokens
  The reading list an emotion or theme page shows: books with one-line claims and a short attributed passage (≤300 chars). Exactly one of emotion or theme. FREE and read-only. Every url carries ?ref=mcp for citation arrival measurement. [capability: library-extraction-cards · mirrors: GET /api/corpus
• vela.magazine.relation_floor ~194 tokens
  Whether a magazine's corpus can support the adaptive promise its pages render. Reports, per property, each relational dimension's fill AND its separating power — a field present on every piece with one distinct value carries no information, so fill rate alone is misleading. Read-only. [capability:
• vela.magazine.sequence_path ~295 tokens
  Ask what this magazine would actually give a reader who said they wanted these things. Returns the REAL sequenced path with the rationale for each piece — the same core the anonymous intake calls, not a preview. Read-only: writes nothing and records no signal. [capability: adaptive-magazine-engine
• vela.research.get_study ~126 tokens
  One FieldStation study as a library-kit ProfileDTO plus the raw StudyRecord. Unknown id is an error. FREE and read-only. [capability: study-catalogue · mirrors: GET /api/research/studies/:id]
• vela.research.list_studies ~156 tokens
  List FieldStation research ideas as a library-kit DiscoveryDTO. Each card is a study we can support, not a running participant surface. The honesty gate (limitations, readiness, doNotClaim) is enforced by research:catalog-check — this tool publishes that same file. FREE and read-only. Presence is ga

Browse

• Searching your documents (RAG)

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