knowledge
Evidence-graded, task-level record of how AI and automation change jobs and degrees. Read-only.
사용해야 할까요
품질 및 안전성
발견 사항 (3)
- LOWlist_business_functions에서
- LOWget_major에서
- LOWfind_majors_for_occupation에서
도구 정의와 프로토콜 준수에 대한 자동 분석을 기반으로 합니다.
컨텍스트 비용
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": {
"knowledge": {
"url": "https://mcp.flyvolo.ai/mcp"
}
}
}원격 엔드포인트
https://mcp.flyvolo.ai/mcpstreamable-http할 수 있는 일
도구 목록
도구 (18)
🟢resolve_occupation_or_major(query, locale)
Resolve a job title, a company's internal name for a role, a nickname or a degree name to a canonical VOLO entity. Call this FIRST whenever a person names their job. Returns a match field of exact or approximate — when it is approximate, say which entity you read the question as. Returns null when VOLO does not cover it, which is a gap in this site and not a statement about the job.
입력 스키마
{
"type": "object",
"properties": {
"query": {
"type": "string"
},
"locale": {
"type": "string"
}
},
"required": [
"query"
]
}🟡search(query, locale, limit)
Search occupations, majors and verified change records by keyword. Returns entries, not judgements.
입력 스키마
{
"type": "object",
"properties": {
"query": {
"type": "string"
},
"locale": {
"type": "string"
},
"limit": {
"type": "number"
}
},
"required": [
"query"
]
}🟢get_occupation(slug, locale)
Full task-level assessment of one occupation. Every task carries direction, basis (evidenced vs inferred) and limits — what that judgement does NOT establish. The impact index is not a probability of job loss and never appears without its confidence and assessment date.
입력 스키마
{
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"locale": {
"type": "string"
}
},
"required": [
"slug"
]
}🟢get_ontology(slug, locale)
Where an occupation or a degree sits in the official classifications (U.S. Department of Labor O*NET 31.0; U.S. Department of Education CIP–SOC crosswalk; the EU's ESCO, the ILO's ISCO-08 and Singapore's SSOC 2024): the matching codes with how well each fits, the skills, knowledge and work activities O*NET rates highest (as O*NET's own importance words, no numbers), related occupations and which degrees lead to it; each of this site's tasks aligned to O*NET detailed work activities (or why none fits); and the rules this site's verified records read, with the verb that matters and whom it binds. For a degree: where the official crosswalk and this site's paths agree and disagree. Every block names its source. O*NET says what a job demands, not what automation is doing to it; never combine it with the impact index.
입력 스키마
{
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"locale": {
"type": "string"
}
},
"required": [
"slug"
]
}🟡query_ontology(type, id, link, direction, locale)
Walk the VOLO Ontology directly. No arguments: the object types and link types. `type`: the objects of that type. `type` + `id`: one object's properties and everything it links to, grouped by link. Add `link` (and `direction`: out|in) to follow one link. Types include Occupation, Task, TaskJudgement, Evidence, Regulation, WorkActivity and ClassificationConcept. Read-only; judgements keep their basis and limits, evidence its scope — carry them into the answer. No aggregate score exists.
입력 스키마
{
"type": "object",
"properties": {
"type": {
"type": "string"
},
"id": {
"type": "string"
},
"link": {
"type": "string"
},
"direction": {
"type": "string",
"enum": [
"out",
"in"
]
},
"locale": {
"type": "string"
}
}
}🟢get_role_tasks(slug, locale)
The task breakdown for one occupation. The unit of assessment is the task, never the job title.
입력 스키마
{
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"locale": {
"type": "string"
}
},
"required": [
"slug"
]
}🟢find_evidence(slug, taskId, locale)
Verified evidence records for an occupation, optionally for one task. Each record carries its scope (where it applies), its stage, whether that stage can move a task judgement at all, and its source tier. Repeat the scope rather than smoothing it away.
입력 스키마
{
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"taskId": {
"type": "string"
},
"locale": {
"type": "string"
}
},
"required": [
"slug"
]
}🟡get_change(id, locale)
One verified change record by id, with VOLO's reading: what it means, what it does not yet establish, and what a reader can verify themselves.
입력 스키마
{
"type": "object",
"properties": {
"id": {
"type": "string"
},
"locale": {
"type": "string"
}
},
"required": [
"id"
]
}🟡find_affected(id, locale)
Which occupation and which specific tasks a change record bears on.
입력 스키마
{
"type": "object",
"properties": {
"id": {
"type": "string"
},
"locale": {
"type": "string"
}
},
"required": [
"id"
]
}🟡get_change_history(slug, locale)
The verified change timeline for an occupation, oldest first.
입력 스키마
{
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"locale": {
"type": "string"
}
},
"required": [
"slug"
]
}🟢find_transition_paths(slug, locale)
Options for someone in this occupation. Every path carries its real constraints (time, pay cut, seniority) and one action they can take this week that produces information. Never present a path without its constraint.
입력 스키마
{
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"locale": {
"type": "string"
}
},
"required": [
"slug"
]
}🟢list_business_functions(locale)
For the business side: the functions a company is organised into, and which occupations sit in each. Use this when someone describes a company rather than themselves.
입력 스키마
{
"type": "object",
"properties": {
"locale": {
"type": "string"
}
}
}🟢get_major(slug, locale)
A degree and the occupations it feeds. There is no score for a major and never will be — answer 'should I switch majors' by pointing at where it leads and what transfers.
입력 스키마
{
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"locale": {
"type": "string"
}
},
"required": [
"slug"
]
}🟢find_majors_for_occupation(slug, locale)
Which degrees lead into this occupation.
입력 스키마
{
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"locale": {
"type": "string"
}
},
"required": [
"slug"
]
}🟢find_notes(query, locale)
VOLO's long-form answers to the big questions — how many jobs AI has actually taken, what actually gets automated, how long someone has, what AI law already changed, where AI lands in a company. Call this FIRST for any question that is about the whole picture rather than one occupation: those are exactly the questions you can answer fluently without evidence, and these notes are the evidence. Each result carries the note's own limits.
입력 스키마
{
"type": "object",
"properties": {
"query": {
"type": "string"
},
"locale": {
"type": "string"
}
}
}🟢get_note(slug, locale)
The full text of one note, section by section, each section with the verified records it rests on. Use it when you need to quote or cite rather than summarise.
입력 스키마
{
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"locale": {
"type": "string"
}
},
"required": [
"slug"
]
}🟢find_notes_for_occupation(slug, locale)
Which notes argue from this occupation's own records or task judgements. Use it to point someone from their own page to the wider answer.
입력 스키마
{
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"locale": {
"type": "string"
}
},
"required": [
"slug"
]
}🟢describe_coverage(locale)
What VOLO covers and what it does not, including which occupations have no evidence yet. Call this when someone asks whether their job is covered, so the answer is a fact about this site rather than a guess about their job.
입력 스키마
{
"type": "object",
"properties": {
"locale": {
"type": "string"
}
}
}권장 프롬프트
searchsearchget_occupationget_occupationlist_business_functions커뮤니티
증거