Pelaris MCP Server

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 (24)

Read Tools (10)

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
get_generation_status	Check the status of an in-progress program-generation job

Write Tools (14)

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
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
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
generate_weekly_plan	Legacy short-plan generator (superseded by generate_program)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_weekly_plan

(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

Privacy Policy · Terms of Service

Built by

Bradley Hunt · About Pelaris