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.
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
Privacy Policy · Terms of Service
Built by
Server Terkait
Drand
An MCP server for fetching verifiable random numbers from the drand network.
Airplane.Live MCP Server
MCP server that connects to the Airplanes.live API to provide real-time flight and aircraft data for analysis or visualization.
BTC & SOL Futures Analiz Dashboard
A real-time dashboard for comprehensive analysis of Bitcoin and Solana futures markets.
SciPilot
Natural language interface for scientific command-line tools via MCP
Polar MCP Server
MCP server for Polar AccessLink API to export data from Polar watches.
Smart Home Device Control
Control smart home devices and query information by connecting large models to smart home backend APIs.
OSINT MCP
Real-time OSINT intelligence platform for global security monitoring.
LiveScore MCP
Real-time football live scores, fixtures, team stats, and player data from 1000+ leagues via SSE transport. Free, no API key required.
MCP Marvel Rivals
Provides access to Marvel Rivals game data through a standardized interface.
AFL (Australian Football League)
Provides Australian Football League (AFL) data, including games, standings, and team information, from the Squiggle API.