"Executing CLI commands" matching MCP servers:

A Model Context Protocol server that enables seamless interaction between LLM-based agents and Apple Health data, allowing users to query, analyze, and manage health records through natural language commands.

An MCP server and CLI for logging food to Lose It!, enabling food search, diary management, meal logging, and weight recording via unofficial API.

Integrates with the Strava API to allow AI assistants to access fitness data including athlete profiles, activity history, and segment statistics. It enables users to query detailed performance metrics and explore geographic segment data through natural language commands.

A Model Context Protocol server that enables natural language commands to manage healthcare data stored in Medplum FHIR servers through standardized Create, Read, Update, and Search operations.

Evidence-based supplement intelligence in your terminal, exposed as an MCP server for AI agents to research, compare, stack, and manage supplements.

Controls a KingSmith WalkingPad Z1 under-desk treadmill from a Mac over Bluetooth LE, with CLI and MCP server for status, start, stop, and speed control.

Enables users to access Whoop biometrics including recovery, sleep, and strain scores while facilitating activity logging and device management. It allows for seamless interaction with health data to set alarms, update weight, and track activities through natural language commands.

Enables interaction with Baby Daybook data through Firebase, allowing users to manage babies, activities, growth, sleep predictions, and more via natural language commands.

An MCP server that connects AI clients to the Hevy workout tracking app, allowing users to manage routines and exercises. It enables reading workout history and logging new fitness sessions through simple natural language commands.

Enables AI assistants to access and manage a user's Fitia account, including profile, Premium, food search, diary, meal suggestions, and preview-first writes that require confirmation before mutating data.

A local-first, family-scale medical record framework that provides a Python CLI engine and MCP server for ingesting, deduplicating, querying, and generating medical records from source documents.