Pelaris

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.

GitHub

Pelaris MCP Server

AI fitness coaching through any MCP-compatible AI assistant. Plan training, log workouts, track benchmarks, manage goals, and get coaching insights — all through natural conversation.

Website · Integrations Guide · How It Works · Methodology

Connect

MCP Server URL: https://api.pelaris.io/mcp

ChatGPT

Settings → Apps → Add → enter the MCP Server URL above

Claude

Settings → Connectors → Add Custom → enter the MCP Server URL above → Advanced Settings → Client ID: pelaris-claude

Any MCP Client

Connect to https://api.pelaris.io/mcp — supports OAuth 2.0 with PKCE and Dynamic Client Registration.

Tools (21)

Read Tools (9)

Tool	Description
`get_training_overview`	View your training context, active programs, and recent sessions
`get_active_program`	View current program with phase, weekly structure, and session details
`get_session_details`	View a specific session's exercises, sets, targets, and feedback
`get_benchmarks`	View benchmark values, progress history, and trends
`get_body_analysis`	View body composition data and measurement trends
`search_training_resources`	Search curated training articles and resources
`get_coach_insight`	Get data-driven coaching insights based on your training
`get_onboarding_status`	Check profile setup completion status
`get_weekly_debrief`	View weekly training summary and coaching focus

Write Tools (12)

Tool	Description
`create_planned_session`	Create a planned workout with exercises and targets
`log_workout`	Log a completed workout or mark a planned session as done
`swap_exercise`	Get alternative exercise suggestions
`modify_training_session`	Adjust session volume, intensity, or schedule
`record_injury`	Record an injury with body part, severity, and notes
`update_profile`	Update equipment, availability, and preferences
`send_feedback`	Submit coaching quality feedback
`generate_weekly_plan`	Generate a new training plan
`record_benchmark`	Record a benchmark value with history tracking
`daily_check_in`	Log daily readiness, soreness, and sleep quality
`manage_goals`	Create, update, complete, or list training goals
`manage_program`	View, archive, or manage training programs

Authentication

OAuth 2.0 with PKCE. The server supports:

Pre-registered clients for ChatGPT and Claude
Dynamic Client Registration for all other MCP clients

Sports Supported

Strength · Running · Swimming · Cycling · Triathlon · CrossFit · General Fitness

Pelaris implements 28 science-based training methodologies. Learn more about our methodology.

Privacy

Pseudonymous user IDs (Firebase UIDs are never exposed)
PII scrubbing on all responses
Granular OAuth scopes
Users can disconnect anytime

Built by

Bradley Hunt · About Pelaris

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