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.

Related MCP server: Garmin Connect MCP Server

Tools (31)

Read Tools (13)

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
`resolve_exercise_ids`	Resolve exercise names to canonical exercise IDs before planning or logging
`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
`get_generation_status`	Check the status of an in-progress program-generation job
`get_program_status`	Check the status and progress of your training programs
`list_goals`	List your training goals with completion status and linked benchmarks

Write Tools (18)

Tool	Description
`complete_intake`	Complete onboarding intake and persist your training profile
`generate_program`	Generate and enrol a full training program from your profile
`create_planned_session`	Create a planned workout with exercises and targets
`log_workout`	Log a completed workout or mark a planned session as done
`log_completed_session`	Log a full completed session with exercises, sets, and feedback
`swap_exercise`	Get alternative exercise suggestions
`modify_training_session`	Adjust session volume, intensity, or schedule
`update_session`	Update the details of an existing planned session
`delete_session`	Delete a single planned session
`delete_sessions`	Delete multiple planned sessions
`record_injury`	Record an injury with body part, severity, and notes
`update_profile`	Update equipment, availability, and preferences
`send_feedback`	Submit coaching quality feedback
`record_benchmark`	Record a benchmark value with history tracking
`daily_check_in`	Log daily readiness, soreness, and sleep quality
`manage_goals`	Create, update, or complete training goals
`manage_program`	View, archive, or manage training programs
`generate_weekly_plan`	Legacy short-plan generator (superseded by `generate_program`)

Example prompts

Once connected, talk to your AI assistant naturally. It maps your intent to the tools above:

"What does my training look like today?" → get_training_overview / get_active_program
"Log my 5k run, felt easy, RPE 4." → log_workout
"Create an upper body session for tomorrow." → create_planned_session
"How are my benchmarks trending?" → get_benchmarks
"Swap the barbell bench for a dumbbell variation." → swap_exercise
"My right shoulder's been sore." → record_injury
"Build me a 4-week running plan." → generate_program

(Illustrative prompts only; no personal data is shown. Responses are grounded in your own training data and PII-scrubbed.)

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

Pelaris