# co.cuvo/website

> co.cuvo/website — co-cuvo-website. Use this tool when you need to access published site content and book discovery calls for healthcare-related inquiries. It solves problems related to finding relevant health information and scheduling calls with experts. The tool takes in user queries and outputs relevant content and booking options, ideal for use cases where users require immediate access to health resources and expert consultations.

Canonical page: https://skillsregistry.net/skills/co-cuvo-website  
JSON: https://api.skillsregistry.net/v1/skills/co-cuvo-website

## Description

Cuvo Health published site content and live discovery-call booking tools for AI agents.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-13

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/co.cuvo%2Fwebsite)

## Use it

MCP endpoint published by the skill: `https://cuvo.co/mcp`

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "co-cuvo-website"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/co-cuvo-website` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/co-cuvo-website/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt