corpus
Read-only MCP access to Vela's corpus of human experience: cited passages, coordinates, reading path
사용해야 할까요
품질 및 안전성
B
발견 사항 (9)
- LOWTool 'vela.corpus.query' doesn't follow camelCase/snake_casevela.corpus.query에서
- LOWTool 'vela.corpus.list_topics' doesn't follow camelCase/snake_casevela.corpus.list_topics에서
- LOWTool 'vela.corpus.describe_topic' doesn't follow camelCase/snake_casevela.corpus.describe_topic에서
- LOWTool 'vela.corpus.ground_claim' doesn't follow camelCase/snake_casevela.corpus.ground_claim에서
- LOWTool 'vela.corpus.witness' doesn't follow camelCase/snake_casevela.corpus.witness에서
- LOWTool 'vela.magazine.sequence_path' doesn't follow camelCase/snake_casevela.magazine.sequence_path에서
- LOWTool 'vela.magazine.relation_floor' doesn't follow camelCase/snake_casevela.magazine.relation_floor에서
- LOWTool 'vela.research.list_studies' doesn't follow camelCase/snake_casevela.research.list_studies에서
- LOWTool 'vela.research.get_study' doesn't follow camelCase/snake_casevela.research.get_study에서
도구 정의와 프로토콜 준수에 대한 자동 분석을 기반으로 합니다.
컨텍스트 비용
~4,383토큰 (도구 정의)
~4.5 KB일반적인 응답 크기
상당한 주의 영향 (128k 컨텍스트의 3.42%)
이는 서버의 도구가 모델의 컨텍스트에 로드될 때마다 소비되는 대략적인 토큰 수입니다. 수치가 높을수록 다른 작업에 사용할 수 있는 주의가 줄어듭니다.
설치
원클릭 설치
`claude_desktop_config.json` 파일에 다음을 추가하세요:
{
"mcpServers": {
"corpus": {
"url": "https://vela.study/mcp"
}
}
}원격 엔드포인트
https://vela.study/mcpstreamable-http할 수 있는 일
도구 목록
도구 (9)
🟢 읽기 전용🟡 쓰기🔴 삭제⚪ 알 수 없음
🟢vela.corpus.query(topic, axes, themes, qualities, genre, ...)
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]
입력 스키마
{
"type": "object",
"properties": {
"topic": {
"default": "being-human",
"description": "Coordinate system to query (topic_configs.slug).",
"type": "string"
},
"axes": {
"description": "Axis → allowed weights. ALL listed axes must match. e.g. {\"religion\":[\"T\",\"s\"],\"work\":[\"T\",\"s\"]}",
"type": "object",
"propertyNames": {
"type": "string"
},
"additionalProperties": {
"type": "array",
"items": {
"type": "string"
}
}
},
"themes": {
"description": "Cards citing ANY of these controlled themes.",
"type": "array",
"items": {
"type": "string"
}
},
"qualities": {
"description": "Cards carrying ANY of these qualities (emotions, for being-human).",
"type": "array",
"items": {
"type": "string"
}
},
"genre": {
"type": "string"
},
"text": {
"description": "Substring match over title / author / one-line claim.",
"type": "string"
},
"include_passages": {
"default": false,
"description": "Include theme-anchored passage pointers.",
"type": "boolean"
},
"limit": {
"default": 50,
"type": "integer",
"minimum": 1,
"maximum": 200
},
"offset": {
"default": 0,
"type": "integer",
"minimum": 0,
"maximum": 9007199254740991
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}출력 스키마
{
"type": "object",
"properties": {
"topic": {
"type": "string"
},
"total": {
"type": "number"
},
"returned": {
"type": "number"
},
"hits": {
"type": "array",
"items": {
"type": "object",
"properties": {
"sourceSlug": {
"type": "string"
},
"libraryId": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
},
"title": {
"type": "string"
},
"author": {
"type": "string"
},
"year": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
]
},
"genre": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
},
"oneLineClaim": {
"type": "string"
},
"themes": {
"type": "array",
"items": {
"type": "string"
}
},
"coordinates": {
"type": "object",
"propertyNames": {
"type": "string"
},
"additionalProperties": {
"type": "string"
}
},
"qualities": {
"type": "array",
"items": {
"type": "string"
}
},
"signaturePassages": {
"type": "array",
"items": {
"type": "object",
"properties": {
"code": {
"type": "string"
},
"theme": {
"type": "string"
},
"quote": {
"type": "string"
}
},
"required": [
"code",
"theme",
"quote"
],
"additionalProperties": false
}
}
},
"required": [
"sourceSlug",
"libraryId",
"title",
"author",
"year",
"genre",
"oneLineClaim",
"themes",
"coordinates",
"qualities"
],
"additionalProperties": {}
}
},
"truncated": {
"type": "boolean"
},
"applied": {
"type": "object",
"propertyNames": {
"type": "string"
},
"additionalProperties": {}
}
},
"required": [
"topic",
"total",
"returned",
"hits",
"applied"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}🟢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]
입력 스키마
{
"type": "object",
"properties": {},
"$schema": "http://json-schema.org/draft-07/schema#"
}출력 스키마
{
"type": "object",
"properties": {
"topics": {
"type": "array",
"items": {
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"name": {
"type": "string"
},
"thesis": {
"type": "string"
},
"axes": {
"type": "array",
"items": {
"type": "object",
"properties": {
"key": {
"type": "string"
},
"label": {
"type": "string"
},
"description": {
"type": "string"
}
},
"required": [
"key",
"label"
],
"additionalProperties": {}
}
},
"axisWeights": {
"type": "array",
"items": {
"type": "string"
}
},
"themeCount": {
"type": "number"
},
"qualityCount": {
"type": "number"
}
},
"required": [
"slug",
"name",
"axes",
"axisWeights",
"themeCount",
"qualityCount"
],
"additionalProperties": false
}
}
},
"required": [
"topics"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}🟢vela.corpus.describe_topic(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]
입력 스키마
{
"type": "object",
"properties": {
"topic": {
"default": "being-human",
"type": "string"
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}출력 스키마
{
"type": "object",
"properties": {
"declared": {
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"name": {
"type": "string"
},
"thesis": {
"type": "string"
},
"axes": {
"type": "array",
"items": {}
},
"themes": {
"type": "array",
"items": {}
},
"qualities": {
"type": "array",
"items": {}
},
"axisWeights": {
"type": "array",
"items": {
"type": "string"
}
}
},
"required": [
"slug",
"name",
"axes",
"themes",
"qualities"
],
"additionalProperties": {}
},
"inUse": {
"type": "object",
"properties": {
"cards": {
"type": "number"
},
"themes": {
"type": "array",
"items": {
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"count": {
"type": "number"
}
},
"required": [
"slug",
"count"
],
"additionalProperties": false
}
},
"qualities": {
"type": "array",
"items": {
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"count": {
"type": "number"
}
},
"required": [
"slug",
"count"
],
"additionalProperties": false
}
},
"genres": {
"type": "array",
"items": {
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"count": {
"type": "number"
}
},
"required": [
"slug",
"count"
],
"additionalProperties": false
}
},
"axes": {
"type": "array",
"items": {
"type": "object",
"properties": {
"key": {
"type": "string"
},
"weights": {
"type": "object",
"propertyNames": {
"type": "string"
},
"additionalProperties": {
"type": "number"
}
}
},
"required": [
"key",
"weights"
],
"additionalProperties": false
}
}
},
"required": [
"cards",
"themes",
"qualities",
"genres",
"axes"
],
"additionalProperties": {}
}
},
"required": [
"declared",
"inUse"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}🟢vela.corpus.ground_claim(claim, limit)
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]
입력 스키마
{
"type": "object",
"properties": {
"claim": {
"type": "string",
"minLength": 3,
"description": "The claim to ground."
},
"limit": {
"default": 8,
"type": "integer",
"minimum": 1,
"maximum": 20
}
},
"required": [
"claim"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}출력 스키마
{
"type": "object",
"properties": {
"claim": {
"type": "string"
},
"hits": {
"type": "array",
"items": {
"type": "object",
"properties": {
"passageCode": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
},
"sourceTitle": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
},
"themes": {
"type": "array",
"items": {
"type": "string"
}
},
"score": {
"type": "number"
},
"rationale": {
"type": "string"
},
"snippet": {
"type": "string"
},
"snippetTruncated": {
"type": "boolean"
}
},
"required": [
"passageCode",
"sourceTitle",
"themes",
"score",
"rationale",
"snippet",
"snippetTruncated"
],
"additionalProperties": false
}
}
},
"required": [
"claim",
"hits"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}🟢vela.corpus.witness(themes, emotions, axes, problem_slug, condition_slug, ...)
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]
입력 스키마
{
"type": "object",
"properties": {
"themes": {
"description": "Controlled themes from Vela's vocabulary (e.g. 'fairness', 'recognition').",
"type": "array",
"items": {
"type": "string",
"minLength": 1
}
},
"emotions": {
"description": "Emotions to match (e.g. 'shame', 'betrayal', 'grief'). At least one of themes or emotions is required.",
"type": "array",
"items": {
"type": "string",
"minLength": 1
}
},
"axes": {
"description": "Axis weight filters for claims only — same format as vela.corpus.query (e.g. {work:[\"T\",\"s\"]}).",
"type": "object",
"propertyNames": {
"type": "string"
},
"additionalProperties": {
"type": "array",
"items": {
"type": "string"
}
}
},
"problem_slug": {
"description": "ProblemFrame entity slug (echoed in response; reserved for frame_tags[] pre-cache after PA-1153 ID-freeze).",
"type": "string"
},
"condition_slug": {
"description": "ConditionFrame entity slug (same reservation as problem_slug).",
"type": "string"
},
"max_passages": {
"default": 5,
"description": "Max passages to return (default 5).",
"type": "integer",
"minimum": 1,
"maximum": 10
},
"max_claims": {
"default": 3,
"description": "Max one-line claims to return (default 3).",
"type": "integer",
"minimum": 1,
"maximum": 8
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}출력 스키마
{
"type": "object",
"properties": {
"passages": {
"type": "array",
"items": {
"type": "object",
"properties": {
"passage_code": {
"type": "string"
},
"text": {
"type": "string"
},
"source_title": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
},
"author": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
},
"charge": {
"type": "number"
},
"themes": {
"type": "array",
"items": {
"type": "string"
}
},
"page_range": {
"type": "null"
}
},
"required": [
"passage_code",
"text",
"source_title",
"author",
"charge",
"themes",
"page_range"
],
"additionalProperties": false
}
},
"claims": {
"type": "array",
"items": {
"type": "object",
"properties": {
"claim": {
"type": "string"
},
"source_title": {
"type": "string"
},
"author": {
"type": "string"
},
"themes": {
"type": "array",
"items": {
"type": "string"
}
}
},
"required": [
"claim",
"source_title",
"author",
"themes"
],
"additionalProperties": false
}
},
"evidence_grade": {
"type": "string",
"const": "T1"
},
"query": {
"type": "object",
"properties": {
"themes": {
"type": "array",
"items": {
"type": "string"
}
},
"emotions": {
"type": "array",
"items": {
"type": "string"
}
},
"axes": {
"type": "object",
"propertyNames": {
"type": "string"
},
"additionalProperties": {
"type": "array",
"items": {
"type": "string"
}
}
},
"problem_slug": {
"type": "string"
},
"condition_slug": {
"type": "string"
}
},
"required": [
"themes",
"emotions"
],
"additionalProperties": {}
}
},
"required": [
"passages",
"claims",
"evidence_grade",
"query"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}🟢vela.magazine.sequence_path(emotions, forms, property, limit)
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]
입력 스키마
{
"type": "object",
"properties": {
"emotions": {
"description": "Emotions the reader is steering by.",
"maxItems": 12,
"type": "array",
"items": {
"type": "string",
"minLength": 1,
"maxLength": 64
}
},
"forms": {
"description": "Article forms to steer by. At least one of emotions/forms is required.",
"maxItems": 12,
"type": "array",
"items": {
"type": "string",
"minLength": 1,
"maxLength": 64
}
},
"property": {
"description": "Property id; defaults to vela.",
"type": "string",
"minLength": 1,
"maxLength": 64
},
"limit": {
"description": "Pieces to return (default 4).",
"type": "integer",
"minimum": 1,
"maximum": 12
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}출력 스키마
{
"type": "object",
"properties": {
"property": {
"type": "string"
},
"path": {
"type": "array",
"items": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"slug": {
"type": "string"
},
"title": {
"type": "string"
},
"rationale": {
"type": "string"
},
"personalized": {
"type": "boolean"
}
},
"required": [
"id",
"slug",
"title",
"rationale",
"personalized"
],
"additionalProperties": false
}
}
},
"required": [
"property",
"path"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}🟢vela.magazine.relation_floor(property)
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]
입력 스키마
{
"type": "object",
"properties": {
"property": {
"description": "Restrict to one property id; omit for every property with published pieces.",
"type": "string",
"minLength": 1,
"maxLength": 64
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}출력 스키마
{
"type": "object",
"properties": {
"properties": {
"type": "array",
"items": {
"type": "object",
"properties": {
"property": {
"type": "string"
},
"published": {
"type": "number"
},
"dimensions": {
"type": "array",
"items": {
"type": "object",
"properties": {
"name": {
"type": "string"
},
"key": {
"type": "string"
},
"fill": {
"type": "number"
},
"distinct": {
"type": "number"
},
"separation": {
"type": "number"
},
"usable": {
"type": "boolean"
},
"verdict": {
"type": "string"
}
},
"required": [
"name",
"key",
"fill",
"distinct",
"separation",
"usable",
"verdict"
],
"additionalProperties": false
}
},
"curatorConfirmed": {
"type": "number"
},
"usableCount": {
"type": "number"
},
"inert": {
"type": "boolean"
}
},
"required": [
"property",
"published",
"dimensions",
"curatorConfirmed",
"usableCount",
"inert"
],
"additionalProperties": false
}
}
},
"required": [
"properties"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}🟢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 enforced by research:catalog-check — this tool publishes that same file. FREE and read-only. Presence is gated; truth is not. [capability: study-catalogue · mirrors: GET /api/research/studies]
입력 스키마
{
"type": "object",
"properties": {},
"$schema": "http://json-schema.org/draft-07/schema#"
}출력 스키마
{
"type": "object",
"properties": {
"ok": {
"type": "boolean",
"const": true
},
"note": {
"type": "string"
},
"problems": {
"type": "array",
"items": {
"type": "string"
}
},
"sendable": {
"type": "number"
},
"count": {
"type": "number"
},
"discovery": {
"type": "object",
"properties": {
"facetGroups": {
"type": "array",
"items": {
"type": "object",
"properties": {
"key": {
"type": "string"
},
"heading": {
"type": "string"
},
"combine": {
"type": "string",
"enum": [
"and",
"or"
]
},
"facets": {
"type": "array",
"items": {
"type": "object",
"properties": {
"value": {
"type": "string"
},
"label": {
"type": "string"
},
"count": {
"type": "number"
}
},
"required": [
"value",
"label",
"count"
],
"additionalProperties": false
}
}
},
"required": [
"key",
"heading",
"combine",
"facets"
],
"additionalProperties": false
}
},
"cards": {
"type": "array",
"items": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"href": {
"type": "string"
},
"eyebrow": {
"type": "string"
},
"title": {
"type": "string"
},
"claim": {
"type": "string"
},
"chips": {
"type": "array",
"items": {
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"label": {
"type": "string"
}
},
"required": [
"slug",
"label"
],
"additionalProperties": false
}
}
},
"required": [
"id",
"href",
"eyebrow",
"title",
"claim"
],
"additionalProperties": false
}
},
"labels": {
"type": "object",
"properties": {
"filterHeading": {
"type": "string"
},
"clear": {
"type": "string"
},
"resultNoun": {
"type": "array",
"items": [
{
"type": "string"
},
{
"type": "string"
}
]
}
},
"required": [
"filterHeading",
"clear",
"resultNoun"
],
"additionalProperties": false
}
},
"required": [
"facetGroups",
"cards",
"labels"
],
"additionalProperties": false
},
"studies": {
"type": "array",
"items": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"title": {
"type": "string"
},
"claim": {
"type": "string"
},
"repo": {
"type": "string"
},
"readiness": {
"type": "string"
},
"ethicsBurden": {
"type": "string"
},
"stage": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
},
"disciplines": {
"type": "array",
"items": {
"type": "string"
}
},
"needs": {
"type": "array",
"items": {
"type": "string"
}
}
},
"required": [
"id",
"title",
"claim",
"repo",
"readiness",
"ethicsBurden",
"stage",
"disciplines",
"needs"
],
"additionalProperties": false
}
}
},
"required": [
"ok",
"note",
"problems",
"sendable",
"count",
"discovery",
"studies"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}🟢vela.research.get_study(id)
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]
입력 스키마
{
"type": "object",
"properties": {
"id": {
"type": "string",
"minLength": 1,
"description": "Catalogue id, e.g. S-01."
}
},
"required": [
"id"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}출력 스키마
{
"type": "object",
"properties": {
"ok": {
"type": "boolean",
"const": true
},
"note": {
"type": "string"
},
"problems": {
"type": "array",
"items": {
"type": "string"
}
},
"profile": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"title": {
"type": "string"
},
"author": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
},
"year": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
]
},
"kicker": {
"type": "string"
},
"body": {
"type": "array",
"items": {
"type": "object",
"properties": {
"kind": {
"type": "string"
}
},
"required": [
"kind"
],
"additionalProperties": {}
}
},
"meta": {
"type": "object",
"properties": {
"title": {
"type": "string"
},
"description": {
"type": "string"
}
},
"required": [
"title",
"description"
],
"additionalProperties": false
}
},
"required": [
"id",
"title",
"author",
"year",
"kicker",
"body",
"meta"
],
"additionalProperties": {}
},
"study": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"title": {
"type": "string"
},
"claim": {
"type": "string"
}
},
"required": [
"id",
"title",
"claim"
],
"additionalProperties": {}
}
},
"required": [
"ok",
"note",
"problems",
"profile",
"study"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}커뮤니티
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