# Fitness Coach

> Use this tool when you need to provide personalized fitness coaching and health guidance to users. It solves problems such as creating effective workout and nutrition plans, tracking user progress, and collecting feedback to inform AI-powered recommendations. The tool takes in user data, including workout logs, nutrition tracking, and feedback, and outputs personalized weekly plans through a comprehensive web interface and API.

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

## Description

Health & Fitness Coach MCP server built by Dinesh-Satram that provides AI assistants with personalized fitness coaching capabilities through workout logging, nutrition tracking, feedback collection, and AI-powered plan generation using OpenAI's GPT models. The implementation features a comprehensive Next.js web interface with real-time progress tracking, meal and workout logging tools, and intelligent plan generation based on user context including recent activities, weekly targets, and feedback history. Built with TypeScript and featuring both HTTP and SSE transport support with optional Redis integration, the server maintains user fitness data in memory stores and generates personalized weekly workout and nutrition plans, making it valuable for AI assistants providing health coaching, fitness tracking applications, and personalized wellness recommendations based on historical user data.

## 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:** database
- **Updated:** 2026-04-30

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/dinesh-satram-fitness-coach)
- **Repository:** <https://github.com/dinesh-satram/fitness_coach_mcp>

## 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": "dinesh-satram-fitness-coach"
    }
  }
}
```

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