pulsemcp Safe content atomic mcp-remote

Fitness Coach

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.

Cognium trust score

50%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: database
Source: PulseMCP
Repository: github.com/dinesh-satram/fitness_coach_mcp
Author type: human
Updated: 2026-04-30

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MCP

Resolve Fitness Coach from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

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

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"