Enables MCP clients to connect to a privacy-first, self-hostable workout planning and training log, allowing coaching agents to preview and apply program changes while accessing training data through OAuth-protected endpoints.
Enables logging workouts, sets, routines, food, water, and macros through natural-language chat in any MCP client, with OAuth-based secure access and timezone-aware daily tracking.
Self-hosted fitness tracking MCP server that gives AI assistants access to your nutrition, training, weight, sleep, and accomplishment data via 77 tools and 5 resources. Enables natural-language logging and querying of personal health metrics through Claude or ChatGPT.
Enables creating workout plans, tracking progress, suggesting exercises, and calculating training volume through natural language, compliant with MCP protocol.
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
Enables ChatGPT to manage fitness routines, guided sessions, workout history, body weight tracking, and statistics through a remote authenticated MCP server with read and write tools.
