"General Documentation Search" matching MCP servers:

MCP server for Cronometer nutrition tracking, enabling food diary management, nutrition data retrieval, food search, and biometric tracking via Cronometer's mobile REST API.

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

Enables AI assistants to search foods and recipes, track diet, manage weight, and log exercise using the FatSecret Platform API.

Connects AI agents to the Pilates With Neelam studio management platform, enabling natural-language class search, real-time availability checks, bookings, level assessments, and post-class check-ins.

MCP server integrating Foodvisor nutrition API for food search, meal logging, daily summaries, and progress tracking via LLM agents like Claude.

A read-only MCP server for the Apex Rides API, deployed as a Cloudflare Worker, providing tools to browse popular classes, search workouts, get class details, and list instructors.

An MCP server specialized in managing and querying gym exercises through a centralized database. It enables users to search for workouts by name or muscle group and retrieve detailed information including sets, repetitions, and rest intervals.

A filesystem-based MCP server that turns any MCP-capable AI agent into a conversational calorie and protein tracker with natural-language estimates, confidence-aware logging, daily/weekly progress, food-history search, and export, working offline with local fallback data.

An MCP server that connects AI assistants to your Yazio nutrition diary, enabling food tracking, product search, and nutrition goal management via reverse-engineered endpoints.

Connect MyFitnessPal to Claude or any MCP client. Log meals, search food database with macros, track trends, and export nutrition history against your real MyFitnessPal diary.

Enables MCP clients like Codex and Claude Code to securely read and manage a personal Cronometer account, including food logs, nutrient summaries with missing-data awareness, food search, biometrics, and export analysis.

Connect Pelaris to any MCP-compatible AI assistant for personalised fitness coaching. Plan training programs, log workouts, track benchmarks, manage goals, and get data-driven coaching insights. Supports science-based methodologies including 5/3/1, Pfitzinger, polarised training, and more. OAuth 2.0 authentication with Streamable HTTP transport. Documentation: https://pelaris.io/integrations Web

MCP server providing access to 1,324 exercises in 10 languages with animation GIFs, offering tools to list facets, search exercises, get exercise details, and build workouts.

Enables workout logging, volume calculation, exercise database search with 1500+ exercises, and AI-powered workout plan generation with DynamoDB persistence.

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 multi-domain productivity tool that currently enables job search automation, application tracking, and pipeline analysis for Career management. Future phases plan to add health tracking, workout management, and family expense monitoring capabilities.

MCP server that wraps wger fitness/nutrition management platform, providing 15 tools for exercise search, ingredient nutrition lookup, weight tracking, and more, accessible to any MCP-compatible AI agent.

Provides guarded access to the official Hevy fitness API, enabling users to list workouts and routines, search exercise templates, review exercise history, and create routines or workouts with explicit confirmation for writes.

Enables logging food into MyFitnessPal diary via natural language, supporting search, log, quick add, and diary retrieval.

An MCP server that provides access to detailed exercise-to-muscle mapping data for over 320 exercises and 65 muscles. It enables users to analyze workout coverage, find exercise alternatives based on muscle overlap, and search for specific exercise activation data.