# Pelaris

> Use this tool when you need to create personalized fitness training programs and track progress through AI-powered coaching. Pelaris solves problems of generic workout plans and lack of accountability by providing 21 tools for customized training, logging, and benchmark tracking across various fitness disciplines. It integrates with MCP-compatible AI assistants via OAuth 2.0 authentication, offering science-based methodologies and coaching insights as output.

Canonical page: https://skillsregistry.net/skills/pelaris-fitness-coach  
JSON: https://api.skillsregistry.net/v1/skills/pelaris-fitness-coach

## Description

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.

[Documentation](https://pelaris.io/integrations) · [Website](https://pelaris.io)

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-05-13

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/pelaris/fitness-coach)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "pelaris-fitness-coach"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pelaris-fitness-coach` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pelaris-fitness-coach/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
