# Adam OS MCP Server

> Use this tool when you need to streamline restaurant management through natural language interactions, analyzing labor and sales data, and automating tasks such as tip pool calculations. It accepts Toast CSV data imports and provides outputs in the form of actionable insights and organized notes. Ideal for restaurant owners and managers seeking to optimize operations and improve productivity.

Canonical page: https://skillsregistry.net/skills/adamperna74-adam-os-mcp  
JSON: https://api.skillsregistry.net/v1/skills/adamperna74-adam-os-mcp

## Description

Enables restaurant management through natural language, allowing import of Toast CSV data, labor/sales analysis, tip pool calculations, task management, and note-taking.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/k4pgfunek8)
- **Repository:** <https://github.com/adamperna74/ADAM-OS-MCP>

## Use it

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": "adamperna74-adam-os-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/adamperna74-adam-os-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/adamperna74-adam-os-mcp/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