Vascue Public Knowledge Search
Search Vascue's public healthcare-ops, insurance-claims and booking docs. Public content only.
Should I use this
Quality & Safety
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
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": {
"public-knowledge-search": {
"url": "https://www.vascue.io/mcp/search"
}
}
}Remote endpoints
https://www.vascue.io/mcp/searchstreamable-httpWhat it can do
Tool inventory
Tools (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.
Input Schema
{
"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"
]
}Recommended Prompts
searchsearchCommunity
Evidence