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MCP live MCP 2025-11-25 http

Vela Corpus

mike-6yge/vela-corpus

Read-only MCP access to Vela's corpus of human experience: cited passages, coordinates, reading paths. Vela (vela.study) is a study of being human read through literature, art, and behavioral science. This server gives an agent read-only, unauthenticated access to Vela's corpus of ~1,100 scored literary and behavioral-science extraction cards, queryable by controlled theme, emotion, and a four-axis coordinate system (sex / work / learning / religion), plus the magazine's adaptive sequencing engine. Every result returns citations (source, passage code, relevance score, a short clamped snippet) rather than full passage text or a fabricated summary, because the underlying corpus is licensed for Vela's own use and is not reproduced wholesale. No sign-in, no API key, no writes. Tools: vela.corpus.list_topics, vela.corpus.describe_topic, vela.corpus.query, vela.corpus.ground_claim, vela.corpus.witness, vela.magazine.sequence_path, vela.magazine.relation_floor. Call list_topics first to learn the vocabulary. Docs: https://vela.study/llms.txt · OpenAPI twin: https://vela.study/openapi.json · Official MCP Registry: study.vela/corpus

Watch this dependency Share evidence report
Uptime
100.0%
5 direct probes · 30d
Response
926ms
last probe
Tools
10
callable
Resources
0
readable
Prompts
0
available
Score: 100/100
Handshake verified by our own probe.
pass Answers the MCP handshake 50/50
The handshake and the list calls succeeded on the primary URL.
pass Lists tools, resources or prompts 30/30
10 tools, 0 resources, 0 prompts returned.
pass 3 or more catalogue items 10/10
10 items in total; 3 or more earns these points.
pass Describes itself 10/10
1144 characters; more than 30 earns these points.

Tools · 10

vela.corpus.query

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/…

vela.library.reading_list

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…

vela.corpus.list_topics

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 an…

vela.corpus.describe_topic

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 de…

vela.corpus.ground_claim

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…

vela.corpus.witness

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 — PersonFram…

vela.magazine.sequence_path

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…

vela.magazine.relation_floor

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 on…

vela.research.list_studies

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 enforce…

vela.research.get_study

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]

How to use

Claude Desktop or claude.ai: add a custom connector (Customize → Connectors; on Team and Enterprise plans an owner adds it under Organization settings → Connectors) with this server URL: https://vela.study/mcp

Cursor or Cline: add to your MCP config:

{
  "mcpServers": {
    "vela_corpus": {
      "url": "https://vela.study/mcp",
      "transport": "http"
    }
  }
}