# ToothNote.ai

> ToothNote.ai — ai-toothnote-practice-reporting. Use this tool when you need to analyze dental practice performance and track key metrics. ToothNote.ai provides read-only aggregates of patients seen, procedure mix, and letter activity, helping to solve problems related to practice management and optimization. It takes in dental practice data as input and outputs actionable insights, making it ideal for use in contexts where data-driven decision making is crucial.

Canonical page: https://skillsregistry.net/skills/ai-toothnote-practice-reporting  
JSON: https://api.skillsregistry.net/v1/skills/ai-toothnote-practice-reporting

## Description

Read-only dental practice aggregates: patients seen, procedure mix, and letter activity.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Updated:** 2026-09-06

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.toothnote%2Fpractice-reporting)

## Use it

MCP endpoint published by the skill: `https://app.toothnote.ai/api/public/v1/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": "ai-toothnote-practice-reporting"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-toothnote-practice-reporting` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-toothnote-practice-reporting/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