Schema | Adam OS MCP Server

Adam OS MCP Server

Describes the environment variables required to run the server.

Name	Required	Description	Default
No arguments

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{}

Functions exposed to the LLM to take actions

Name	Description
get_business_overviewA	Get a complete overview of both restaurants — Reading Club and Seneca Trattoria — including current KPIs, alerts, and data status.
get_labor_summaryA	Get labor hours, cost, and labor percentage. Works with real Toast data if imported, otherwise shows current known metrics.
get_employee_hoursB	Get hours and pay for employees. Flags overtime. Use to check if anyone is approaching overtime threshold.
get_sales_summaryC	Get sales, covers, and average check data from imported Toast reports.
get_server_salesC	Get per-server sales, covers, and tips. Used for tip pool calculations.
calculate_tip_poolC	Calculate tip pool distribution based on imported server sales data.
import_toast_csvA	Import a Toast POS CSV export. Auto-scans ~/Desktop/Toast Imports folder if no path given. Accepts labor, sales summary, or server sales reports.
list_importsA	List all previously imported Toast CSV files.
get_tasksB	Get tasks and to-dos. Filter by priority or status.
add_taskC	Add a new task or action item.
complete_taskC	Mark a task as complete.
save_noteC	Save a shift note, incident report, or any observation.
get_notesC	Get saved shift notes, incidents, or observations.
system_diagnosticB	Run a complete health check of Adam OS. Check all data, tools, and status.

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/adamperna74/ADAM-OS-MCP'

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