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

该来源不提供完整文件导出（国内平台多为平台内托管），仅存元数据与原链

接入信息

传输形态: http
鉴权方式: 鉴权未知
端点: https://vela-corpus--mike-6yge.run.tools

鉴权方式未标注，请核对官方文档后再接入——不要直接使用以下片段

{
  "mcpServers": {
    "Vela Corpus": {
      "url": "https://vela-corpus--mike-6yge.run.tools"
    }
  }
}

能力清单

工具	说明
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/emotions, genre, and free text. Returns card metadata: the one-line claim, themes, coordinates, qualities. FREE and read-only. [capability: library-extraction-cards · mirrors: POST /api/corpus/query]
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 and read-only. [capability: topic-coordinate-systems · mirrors: GET /api/corpus/topics]
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 declared vocabulary and the used vocabulary are different facts; this returns both. FREE and read-only. [capability: topic-coordinate-systems · mirrors: GET /api/corpus/topics/:slug]
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, complicates or is silent on an assertion. COSTS a small amount (one embedding per call). [capability: corpus-ingestion-dual-grade · mirrors: internal — lib/audit/retrieve.ts]
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 — PersonFrame × ProblemFrame × ConditionFrame — to add an inside-out layer (what writers who lived this say) alongside the outside-in portrait the frame join produces. Results carry evidence_grade 'T1' (single-extractor) until PRN-282 lands. FREE for claims; costs one embedding for the passage path. [capability: literary-witness · mirrors: GET /api/vela/witness]
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 a preview. Read-only: writes nothing and records no signal. [capability: adaptive-magazine-engine · mirrors: POST /api/magazine/start-path]
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 one distinct value carries no information, so fill rate alone is misleading. Read-only. [capability: adaptive-magazine-engine · mirrors: npm run magazine:relation-floor]

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