corpus
Read-only MCP access to Vela's corpus of human experience: cited passages, coordinates, reading path
Sollte ich dies verwenden
Qualität und Sicherheit
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Befunde (9)
- LOWTool 'vela.corpus.query' doesn't follow camelCase/snake_casein vela.corpus.query
- LOWTool 'vela.corpus.list_topics' doesn't follow camelCase/snake_casein vela.corpus.list_topics
- LOWTool 'vela.corpus.describe_topic' doesn't follow camelCase/snake_casein vela.corpus.describe_topic
- LOWTool 'vela.corpus.ground_claim' doesn't follow camelCase/snake_casein vela.corpus.ground_claim
- LOWTool 'vela.corpus.witness' doesn't follow camelCase/snake_casein vela.corpus.witness
- LOWTool 'vela.magazine.sequence_path' doesn't follow camelCase/snake_casein vela.magazine.sequence_path
- LOWTool 'vela.magazine.relation_floor' doesn't follow camelCase/snake_casein vela.magazine.relation_floor
- LOWTool 'vela.research.list_studies' doesn't follow camelCase/snake_casein vela.research.list_studies
- LOWTool 'vela.research.get_study' doesn't follow camelCase/snake_casein vela.research.get_study
Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.
Kontextkosten
~4,383Tokens (Tool-Definitionen)
~4.5 KBTypische Antwortgröße
Erhebliche Auswirkung auf die Aufmerksamkeit (3.42% von 128k Kontext)
Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.
Installieren
Installation mit einem Klick
Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:
{
"mcpServers": {
"corpus": {
"url": "https://vela.study/mcp"
}
}
}Remote-Endpunkte
https://vela.study/mcpstreamable-httpWas es kann
Tool-Inventar
Tools (9)
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🟢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]
Eingabe-Schema
{
"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
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}Ausgabe-Schema
{
"type": "object",
"properties": {
"topic": {
"type": "string"
},
"total": {
"type": "number"
},
"returned": {
"type": "number"
},
"hits": {
"type": "array",
"items": {
"type": "object",
"properties": {
"sourceSlug": {
"type": "string"
},
"libraryId": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
},
"title": {
"type": "string"
},
"author": {
"type": "string"
},
"year": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
]
},
"genre": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
},
"oneLineClaim": {
"type": "string"
},
"themes": {
"type": "array",
"items": {
"type": "string"
}
},
"coordinates": {
"type": "object",
"propertyNames": {
"type": "string"
},
"additionalProperties": {
"type": "string"
}
},
"qualities": {
"type": "array",
"items": {
"type": "string"
}
},
"signaturePassages": {
"type": "array",
"items": {
"type": "object",
"properties": {
"code": {
"type": "string"
},
"theme": {
"type": "string"
},
"quote": {
"type": "string"
}
},
"required": [
"code",
"theme",
"quote"
],
"additionalProperties": false
}
}
},
"required": [
"sourceSlug",
"libraryId",
"title",
"author",
"year",
"genre",
"oneLineClaim",
"themes",
"coordinates",
"qualities"
],
"additionalProperties": {}
}
},
"truncated": {
"type": "boolean"
},
"applied": {
"type": "object",
"propertyNames": {
"type": "string"
},
"additionalProperties": {}
}
},
"required": [
"topic",
"total",
"returned",
"hits",
"applied"
],
"$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]
Eingabe-Schema
{
"type": "object",
"properties": {},
"$schema": "http://json-schema.org/draft-07/schema#"
}Ausgabe-Schema
{
"type": "object",
"properties": {
"topics": {
"type": "array",
"items": {
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"name": {
"type": "string"
},
"thesis": {
"type": "string"
},
"axes": {
"type": "array",
"items": {
"type": "object",
"properties": {
"key": {
"type": "string"
},
"label": {
"type": "string"
},
"description": {
"type": "string"
}
},
"required": [
"key",
"label"
],
"additionalProperties": {}
}
},
"axisWeights": {
"type": "array",
"items": {
"type": "string"
}
},
"themeCount": {
"type": "number"
},
"qualityCount": {
"type": "number"
}
},
"required": [
"slug",
"name",
"axes",
"axisWeights",
"themeCount",
"qualityCount"
],
"additionalProperties": false
}
}
},
"required": [
"topics"
],
"$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]
Eingabe-Schema
{
"type": "object",
"properties": {
"topic": {
"default": "being-human",
"type": "string"
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}Ausgabe-Schema
{
"type": "object",
"properties": {
"declared": {
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"name": {
"type": "string"
},
"thesis": {
"type": "string"
},
"axes": {
"type": "array",
"items": {}
},
"themes": {
"type": "array",
"items": {}
},
"qualities": {
"type": "array",
"items": {}
},
"axisWeights": {
"type": "array",
"items": {
"type": "string"
}
}
},
"required": [
"slug",
"name",
"axes",
"themes",
"qualities"
],
"additionalProperties": {}
},
"inUse": {
"type": "object",
"properties": {
"cards": {
"type": "number"
},
"themes": {
"type": "array",
"items": {
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"count": {
"type": "number"
}
},
"required": [
"slug",
"count"
],
"additionalProperties": false
}
},
"qualities": {
"type": "array",
"items": {
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"count": {
"type": "number"
}
},
"required": [
"slug",
"count"
],
"additionalProperties": false
}
},
"genres": {
"type": "array",
"items": {
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"count": {
"type": "number"
}
},
"required": [
"slug",
"count"
],
"additionalProperties": false
}
},
"axes": {
"type": "array",
"items": {
"type": "object",
"properties": {
"key": {
"type": "string"
},
"weights": {
"type": "object",
"propertyNames": {
"type": "string"
},
"additionalProperties": {
"type": "number"
}
}
},
"required": [
"key",
"weights"
],
"additionalProperties": false
}
}
},
"required": [
"cards",
"themes",
"qualities",
"genres",
"axes"
],
"additionalProperties": {}
}
},
"required": [
"declared",
"inUse"
],
"$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]
Eingabe-Schema
{
"type": "object",
"properties": {
"claim": {
"type": "string",
"minLength": 3,
"description": "The claim to ground."
},
"limit": {
"default": 8,
"type": "integer",
"minimum": 1,
"maximum": 20
}
},
"required": [
"claim"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}Ausgabe-Schema
{
"type": "object",
"properties": {
"claim": {
"type": "string"
},
"hits": {
"type": "array",
"items": {
"type": "object",
"properties": {
"passageCode": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
},
"sourceTitle": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
},
"themes": {
"type": "array",
"items": {
"type": "string"
}
},
"score": {
"type": "number"
},
"rationale": {
"type": "string"
},
"snippet": {
"type": "string"
},
"snippetTruncated": {
"type": "boolean"
}
},
"required": [
"passageCode",
"sourceTitle",
"themes",
"score",
"rationale",
"snippet",
"snippetTruncated"
],
"additionalProperties": false
}
}
},
"required": [
"claim",
"hits"
],
"$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]
Eingabe-Schema
{
"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
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}Ausgabe-Schema
{
"type": "object",
"properties": {
"passages": {
"type": "array",
"items": {
"type": "object",
"properties": {
"passage_code": {
"type": "string"
},
"text": {
"type": "string"
},
"source_title": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
},
"author": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
},
"charge": {
"type": "number"
},
"themes": {
"type": "array",
"items": {
"type": "string"
}
},
"page_range": {
"type": "null"
}
},
"required": [
"passage_code",
"text",
"source_title",
"author",
"charge",
"themes",
"page_range"
],
"additionalProperties": false
}
},
"claims": {
"type": "array",
"items": {
"type": "object",
"properties": {
"claim": {
"type": "string"
},
"source_title": {
"type": "string"
},
"author": {
"type": "string"
},
"themes": {
"type": "array",
"items": {
"type": "string"
}
}
},
"required": [
"claim",
"source_title",
"author",
"themes"
],
"additionalProperties": false
}
},
"evidence_grade": {
"type": "string",
"const": "T1"
},
"query": {
"type": "object",
"properties": {
"themes": {
"type": "array",
"items": {
"type": "string"
}
},
"emotions": {
"type": "array",
"items": {
"type": "string"
}
},
"axes": {
"type": "object",
"propertyNames": {
"type": "string"
},
"additionalProperties": {
"type": "array",
"items": {
"type": "string"
}
}
},
"problem_slug": {
"type": "string"
},
"condition_slug": {
"type": "string"
}
},
"required": [
"themes",
"emotions"
],
"additionalProperties": {}
}
},
"required": [
"passages",
"claims",
"evidence_grade",
"query"
],
"$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]
Eingabe-Schema
{
"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
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}Ausgabe-Schema
{
"type": "object",
"properties": {
"property": {
"type": "string"
},
"path": {
"type": "array",
"items": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"slug": {
"type": "string"
},
"title": {
"type": "string"
},
"rationale": {
"type": "string"
},
"personalized": {
"type": "boolean"
}
},
"required": [
"id",
"slug",
"title",
"rationale",
"personalized"
],
"additionalProperties": false
}
}
},
"required": [
"property",
"path"
],
"$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]
Eingabe-Schema
{
"type": "object",
"properties": {
"property": {
"description": "Restrict to one property id; omit for every property with published pieces.",
"type": "string",
"minLength": 1,
"maxLength": 64
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}Ausgabe-Schema
{
"type": "object",
"properties": {
"properties": {
"type": "array",
"items": {
"type": "object",
"properties": {
"property": {
"type": "string"
},
"published": {
"type": "number"
},
"dimensions": {
"type": "array",
"items": {
"type": "object",
"properties": {
"name": {
"type": "string"
},
"key": {
"type": "string"
},
"fill": {
"type": "number"
},
"distinct": {
"type": "number"
},
"separation": {
"type": "number"
},
"usable": {
"type": "boolean"
},
"verdict": {
"type": "string"
}
},
"required": [
"name",
"key",
"fill",
"distinct",
"separation",
"usable",
"verdict"
],
"additionalProperties": false
}
},
"curatorConfirmed": {
"type": "number"
},
"usableCount": {
"type": "number"
},
"inert": {
"type": "boolean"
}
},
"required": [
"property",
"published",
"dimensions",
"curatorConfirmed",
"usableCount",
"inert"
],
"additionalProperties": false
}
}
},
"required": [
"properties"
],
"$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]
Eingabe-Schema
{
"type": "object",
"properties": {},
"$schema": "http://json-schema.org/draft-07/schema#"
}Ausgabe-Schema
{
"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]
Eingabe-Schema
{
"type": "object",
"properties": {
"id": {
"type": "string",
"minLength": 1,
"description": "Catalogue id, e.g. S-01."
}
},
"required": [
"id"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}Ausgabe-Schema
{
"type": "object",
"properties": {
"ok": {
"type": "boolean",
"const": true
},
"note": {
"type": "string"
},
"problems": {
"type": "array",
"items": {
"type": "string"
}
},
"profile": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"title": {
"type": "string"
},
"author": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
},
"year": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
]
},
"kicker": {
"type": "string"
},
"body": {
"type": "array",
"items": {
"type": "object",
"properties": {
"kind": {
"type": "string"
}
},
"required": [
"kind"
],
"additionalProperties": {}
}
},
"meta": {
"type": "object",
"properties": {
"title": {
"type": "string"
},
"description": {
"type": "string"
}
},
"required": [
"title",
"description"
],
"additionalProperties": false
}
},
"required": [
"id",
"title",
"author",
"year",
"kicker",
"body",
"meta"
],
"additionalProperties": {}
},
"study": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"title": {
"type": "string"
},
"claim": {
"type": "string"
}
},
"required": [
"id",
"title",
"claim"
],
"additionalProperties": {}
}
},
"required": [
"ok",
"note",
"problems",
"profile",
"study"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}Community
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