corpus
Read-only MCP access to Vela's corpus of human experience: cited passages, coordinates, reading path
Should I use this
Quality & Safety
B
Findings (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
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
~4,383Tokens (tool definitions)
~4.5 KBTypical response size
Significant attention impact (3.42% of 128k context)
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"corpus": {
"url": "https://vela.study/mcp"
}
}
}Remote endpoints
https://vela.study/mcpstreamable-httpWhat it can do
Tool inventory
Tools (9)
🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟢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]
Input 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
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}Output Schema
{
"type": "object",
"properties": {
"topic": {
"type": "string"
},
"total": {
"type": "number"
},
"returned": {
"type": "number"
},
"hits": {
"type": "array",
"items": {
"type": "object",
"properties": {
"sourceSlug": {
"type": "string"
},
"libraryId": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
},
"title": {
"type": "string"
},
"author": {
"type": "string"
},
"year": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
]
},
"genre": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
},
"oneLineClaim": {
"type": "string"
},
"themes": {
"type": "array",
"items": {
"type": "string"
}
},
"coordinates": {
"type": "object",
"propertyNames": {
"type": "string"
},
"additionalProperties": {
"type": "string"
}
},
"qualities": {
"type": "array",
"items": {
"type": "string"
}
},
"signaturePassages": {
"type": "array",
"items": {
"type": "object",
"properties": {
"code": {
"type": "string"
},
"theme": {
"type": "string"
},
"quote": {
"type": "string"
}
},
"required": [
"code",
"theme",
"quote"
],
"additionalProperties": false
}
}
},
"required": [
"sourceSlug",
"libraryId",
"title",
"author",
"year",
"genre",
"oneLineClaim",
"themes",
"coordinates",
"qualities"
],
"additionalProperties": {}
}
},
"truncated": {
"type": "boolean"
},
"applied": {
"type": "object",
"propertyNames": {
"type": "string"
},
"additionalProperties": {}
}
},
"required": [
"topic",
"total",
"returned",
"hits",
"applied"
],
"$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]
Input Schema
{
"type": "object",
"properties": {},
"$schema": "http://json-schema.org/draft-07/schema#"
}Output Schema
{
"type": "object",
"properties": {
"topics": {
"type": "array",
"items": {
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"name": {
"type": "string"
},
"thesis": {
"type": "string"
},
"axes": {
"type": "array",
"items": {
"type": "object",
"properties": {
"key": {
"type": "string"
},
"label": {
"type": "string"
},
"description": {
"type": "string"
}
},
"required": [
"key",
"label"
],
"additionalProperties": {}
}
},
"axisWeights": {
"type": "array",
"items": {
"type": "string"
}
},
"themeCount": {
"type": "number"
},
"qualityCount": {
"type": "number"
}
},
"required": [
"slug",
"name",
"axes",
"axisWeights",
"themeCount",
"qualityCount"
],
"additionalProperties": false
}
}
},
"required": [
"topics"
],
"$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]
Input Schema
{
"type": "object",
"properties": {
"topic": {
"default": "being-human",
"type": "string"
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}Output Schema
{
"type": "object",
"properties": {
"declared": {
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"name": {
"type": "string"
},
"thesis": {
"type": "string"
},
"axes": {
"type": "array",
"items": {}
},
"themes": {
"type": "array",
"items": {}
},
"qualities": {
"type": "array",
"items": {}
},
"axisWeights": {
"type": "array",
"items": {
"type": "string"
}
}
},
"required": [
"slug",
"name",
"axes",
"themes",
"qualities"
],
"additionalProperties": {}
},
"inUse": {
"type": "object",
"properties": {
"cards": {
"type": "number"
},
"themes": {
"type": "array",
"items": {
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"count": {
"type": "number"
}
},
"required": [
"slug",
"count"
],
"additionalProperties": false
}
},
"qualities": {
"type": "array",
"items": {
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"count": {
"type": "number"
}
},
"required": [
"slug",
"count"
],
"additionalProperties": false
}
},
"genres": {
"type": "array",
"items": {
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"count": {
"type": "number"
}
},
"required": [
"slug",
"count"
],
"additionalProperties": false
}
},
"axes": {
"type": "array",
"items": {
"type": "object",
"properties": {
"key": {
"type": "string"
},
"weights": {
"type": "object",
"propertyNames": {
"type": "string"
},
"additionalProperties": {
"type": "number"
}
}
},
"required": [
"key",
"weights"
],
"additionalProperties": false
}
}
},
"required": [
"cards",
"themes",
"qualities",
"genres",
"axes"
],
"additionalProperties": {}
}
},
"required": [
"declared",
"inUse"
],
"$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]
Input 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"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}Output Schema
{
"type": "object",
"properties": {
"claim": {
"type": "string"
},
"hits": {
"type": "array",
"items": {
"type": "object",
"properties": {
"passageCode": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
},
"sourceTitle": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
},
"themes": {
"type": "array",
"items": {
"type": "string"
}
},
"score": {
"type": "number"
},
"rationale": {
"type": "string"
},
"snippet": {
"type": "string"
},
"snippetTruncated": {
"type": "boolean"
}
},
"required": [
"passageCode",
"sourceTitle",
"themes",
"score",
"rationale",
"snippet",
"snippetTruncated"
],
"additionalProperties": false
}
}
},
"required": [
"claim",
"hits"
],
"$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]
Input 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
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}Output Schema
{
"type": "object",
"properties": {
"passages": {
"type": "array",
"items": {
"type": "object",
"properties": {
"passage_code": {
"type": "string"
},
"text": {
"type": "string"
},
"source_title": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
},
"author": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
},
"charge": {
"type": "number"
},
"themes": {
"type": "array",
"items": {
"type": "string"
}
},
"page_range": {
"type": "null"
}
},
"required": [
"passage_code",
"text",
"source_title",
"author",
"charge",
"themes",
"page_range"
],
"additionalProperties": false
}
},
"claims": {
"type": "array",
"items": {
"type": "object",
"properties": {
"claim": {
"type": "string"
},
"source_title": {
"type": "string"
},
"author": {
"type": "string"
},
"themes": {
"type": "array",
"items": {
"type": "string"
}
}
},
"required": [
"claim",
"source_title",
"author",
"themes"
],
"additionalProperties": false
}
},
"evidence_grade": {
"type": "string",
"const": "T1"
},
"query": {
"type": "object",
"properties": {
"themes": {
"type": "array",
"items": {
"type": "string"
}
},
"emotions": {
"type": "array",
"items": {
"type": "string"
}
},
"axes": {
"type": "object",
"propertyNames": {
"type": "string"
},
"additionalProperties": {
"type": "array",
"items": {
"type": "string"
}
}
},
"problem_slug": {
"type": "string"
},
"condition_slug": {
"type": "string"
}
},
"required": [
"themes",
"emotions"
],
"additionalProperties": {}
}
},
"required": [
"passages",
"claims",
"evidence_grade",
"query"
],
"$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]
Input 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
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}Output Schema
{
"type": "object",
"properties": {
"property": {
"type": "string"
},
"path": {
"type": "array",
"items": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"slug": {
"type": "string"
},
"title": {
"type": "string"
},
"rationale": {
"type": "string"
},
"personalized": {
"type": "boolean"
}
},
"required": [
"id",
"slug",
"title",
"rationale",
"personalized"
],
"additionalProperties": false
}
}
},
"required": [
"property",
"path"
],
"$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]
Input Schema
{
"type": "object",
"properties": {
"property": {
"description": "Restrict to one property id; omit for every property with published pieces.",
"type": "string",
"minLength": 1,
"maxLength": 64
}
},
"$schema": "http://json-schema.org/draft-07/schema#"
}Output Schema
{
"type": "object",
"properties": {
"properties": {
"type": "array",
"items": {
"type": "object",
"properties": {
"property": {
"type": "string"
},
"published": {
"type": "number"
},
"dimensions": {
"type": "array",
"items": {
"type": "object",
"properties": {
"name": {
"type": "string"
},
"key": {
"type": "string"
},
"fill": {
"type": "number"
},
"distinct": {
"type": "number"
},
"separation": {
"type": "number"
},
"usable": {
"type": "boolean"
},
"verdict": {
"type": "string"
}
},
"required": [
"name",
"key",
"fill",
"distinct",
"separation",
"usable",
"verdict"
],
"additionalProperties": false
}
},
"curatorConfirmed": {
"type": "number"
},
"usableCount": {
"type": "number"
},
"inert": {
"type": "boolean"
}
},
"required": [
"property",
"published",
"dimensions",
"curatorConfirmed",
"usableCount",
"inert"
],
"additionalProperties": false
}
}
},
"required": [
"properties"
],
"$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]
Input Schema
{
"type": "object",
"properties": {},
"$schema": "http://json-schema.org/draft-07/schema#"
}Output 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]
Input Schema
{
"type": "object",
"properties": {
"id": {
"type": "string",
"minLength": 1,
"description": "Catalogue id, e.g. S-01."
}
},
"required": [
"id"
],
"$schema": "http://json-schema.org/draft-07/schema#"
}Output Schema
{
"type": "object",
"properties": {
"ok": {
"type": "boolean",
"const": true
},
"note": {
"type": "string"
},
"problems": {
"type": "array",
"items": {
"type": "string"
}
},
"profile": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"title": {
"type": "string"
},
"author": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
]
},
"year": {
"anyOf": [
{
"type": "number"
},
{
"type": "null"
}
]
},
"kicker": {
"type": "string"
},
"body": {
"type": "array",
"items": {
"type": "object",
"properties": {
"kind": {
"type": "string"
}
},
"required": [
"kind"
],
"additionalProperties": {}
}
},
"meta": {
"type": "object",
"properties": {
"title": {
"type": "string"
},
"description": {
"type": "string"
}
},
"required": [
"title",
"description"
],
"additionalProperties": false
}
},
"required": [
"id",
"title",
"author",
"year",
"kicker",
"body",
"meta"
],
"additionalProperties": {}
},
"study": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"title": {
"type": "string"
},
"claim": {
"type": "string"
}
},
"required": [
"id",
"title",
"claim"
],
"additionalProperties": {}
}
},
"required": [
"ok",
"note",
"problems",
"profile",
"study"
],
"$schema": "http://json-schema.org/draft-07/schema#",
"additionalProperties": false
}Community
Evidence
Recent observations
verifiedversion not recorded9 tools
verifiedversion not recorded8 tools