Vascue Public Knowledge Search
Search Vascue's public healthcare-ops, insurance-claims and booking docs. Public content only.
사용해야 할까요
품질 및 안전성
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": {
"public-knowledge-search": {
"url": "https://www.vascue.io/mcp/search"
}
}
}원격 엔드포인트
https://www.vascue.io/mcp/searchstreamable-http할 수 있는 일
도구 목록
도구 (1)
🟢search(query, ai_search_options)
Hybrid keyword + semantic search over the public pages of vascue.io: healthcare-operations guides, the AI front desk for clinics, provider-side insurance-claims automation, Cliniko and Nookal integration, security and compliance pages, case studies, pricing and blog posts. Use it to answer questions about what Vascue offers, how its products work and what it has published. One topic per call; cite the returned page URL for every excerpt you use. Returns a JSON text payload: result.chunks[] ordered by relevance, each with text (a Markdown excerpt), score (0-1, higher is better) and item.metadata.url (the canonical https://www.vascue.io/... page). Off-topic queries still return the nearest chunks, so treat scores below about 0.5 as weak evidence and say so when the site does not cover a topic. Read-only and idempotent; no authentication; 60 requests per minute per client. Public content only: never send patient information, claim documents, clinic credentials or booking requests. It cannot book appointments or look up clinic data.
입력 스키마
{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "What to look for, as a natural-language question or keywords, e.g. \"how does claims pre-authorisation work\" or \"Cliniko integration\". 3-15 words works best; one topic per call."
},
"ai_search_options": {
"type": "object",
"description": "Optional retrieval tuning. Omit for the defaults: hybrid search, 8 results, score threshold 0.35.",
"properties": {
"retrieval": {
"type": "object",
"properties": {
"retrieval_type": {
"type": "string",
"enum": [
"hybrid",
"vector",
"keyword"
],
"description": "hybrid (default) fuses keyword and vector ranking; keyword for exact phrases or product names; vector for paraphrased questions."
},
"max_num_results": {
"type": "integer",
"minimum": 1,
"maximum": 50,
"description": "Maximum chunks to return (default 8)."
},
"match_threshold": {
"type": "number",
"minimum": 0,
"maximum": 1,
"description": "Minimum relevance score for a chunk to be included (default 0.35); raise for precision, lower for recall."
},
"context_expansion": {
"type": "integer",
"minimum": 0,
"maximum": 3,
"description": "Neighbouring chunks from the same page to include around each hit (default 0)."
}
}
}
}
}
},
"required": [
"query"
]
}권장 프롬프트
searchsearch커뮤니티
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