Pelaris
AI fitness coaching through any MCP-compatible AI assistant.
What it can do
- Get Training Overview: View your complete training snapshot — active programs, recent sessions, check-in data, goals, and progress at a glance.
- Get Active Program: View your current training programs with progress, phase, weekly structure, and session details.
- Get Session Details: View the full details of a workout session — exercises, sets, reps, weights, completion status, and feedback.
What data it sees
Do you need an account
No: the server works without sign-in
AI fitness coaching through any MCP-compatible AI assistant. 21 tools for personalised training programs, workout logging, benchmark tracking, goal management, and coaching insights across strength, running, swimming, cycling, triathlon, CrossFit, and general fitness.
Supports science-based methodologies including 5/3/1, Pfitzinger, polarised training, and more. OAuth 2.0 authentication - connect and start training.
How to connect
How to connect Pelaris to Claude
The server address to paste into Claude settings:
https://fitness-coach--pelaris.run.tools
- Open Claude (claude.ai or the desktop app).
- Go to Settings → Connectors.
- Click Add custom connector.
- Paste the server address copied below into Remote MCP server URL and click Add.
- In a chat, click + → Connectors and switch the new connector on.
Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.
Authorization
After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.
How to connect Pelaris to ChatGPT
The server address to paste into ChatGPT settings:
https://fitness-coach--pelaris.run.tools
- Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
- Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
- Open Settings → Connectors and click Create.
- Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
- Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
- In a new chat open + → Apps/Connectors and enable the connector.
OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.
Authorization
On first use ChatGPT opens the service's sign-in window. Sign in and approve access.
How to connect Pelaris to Cursor
The server address to paste into Cursor settings:
https://fitness-coach--pelaris.run.tools
Fastest: click Open in Cursor below and confirm the prompt.
Manually:
- In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
- Paste the JSON copied below into
~/.cursor/mcp.json(per project:.cursor/mcp.jsonin the repo root). - Save the file. The server appears in the MCP list; authorize it there if asked.
Authorization
If the service needs sign-in, an authorize button appears next to the server in the MCP list.
Server tool list (21)
Raw names from tools/list. Only developers need these.
| get_training_overview | View your complete training snapshot — active programs, recent sessions, check-in data, goals, and progress at a glance. |
| get_active_program | View your current training programs with progress, phase, weekly structure, and session details. |
| get_session_details | View the full details of a workout session — exercises, sets, reps, weights, completion status, and feedback. |
| get_benchmarks | View your performance benchmarks — current values, trends, and progress over time. |
| get_body_analysis | View your latest body composition data — measurements, ratios, archetype, and changes since your last analysis. |
| search_training_resources | Search the curated library of coaching articles, videos, and guides. Find resources by topic, sport, or training goal. |
| get_coach_insight | Get personalised coaching observations based on your recent training — consistency, fatigue, goal progress, and areas to focus on. |
| get_onboarding_status | Check your account setup progress — intake completion, sport selection, program creation, and device connections. |
| generate_weekly_plan | Generate a new weekly training plan tailored to your program, goals, and readiness. Sessions appear in your calendar once ready. |
| modify_training_session | Adjust a planned session — reduce volume, change intensity, swap exercises, or reschedule to a different date. |
| log_workout | Record a completed workout with exercises, RPE, and how you felt. Duplicate entries are automatically prevented. |
| swap_exercise | Find alternative exercises with rationale, or swap an exercise in a planned session. Returns 3 suggestions based on movement pattern. |
| update_profile | Update your training preferences — equipment, available days, session duration, experience level, and more. |
| record_injury | Log an injury or pain point so your training plan adapts automatically. Returns a coaching note about how sessions will adjust. |
| send_feedback | Share feedback about the coaching experience to help improve tool quality and accuracy. |
| create_planned_session | Schedule a future workout session with target exercises. The session will appear in your training calendar ready to track. |
| record_benchmark | Record a new personal best or benchmark result. Previous values are saved to history so you can track progress over time. |
| daily_check_in | Log how you're feeling today — readiness, soreness, sleep, and mood. Your coach uses this to adapt upcoming sessions. |
| manage_goals | Create, update, complete, or list your training goals. Supports race events, body composition targets, and performance milestones. |
| manage_program | View, archive, or review your training programs. See active programs, program history, or archive a completed program. |
| get_weekly_debrief | View your weekly training summary — session completion, highlights, areas for improvement, and next week's focus. |