Workout Planner Ai MCP

mcp-name: io.github.CSOAI-ORG/workout-planner-ai-mcp

Workout Planner Ai

By MEOK AI Labs — Create workout plans, track progress, suggest exercises, and calculate training volume.

Create workout plans, track progress, suggest exercises, and calculate training volume

Create workout plans, track progress, suggest exercises, and calculate training volume.

🚀 Quick Start

# Install via pip
pip install workout_planner_ai_mcp

# Or install via Smithery
npx -y @smithery/cli@latest install workout-planner-ai-mcp --client claude

Related MCP server: Hevy MCP

✨ Features

• MCP protocol compliant

• Easy installation

• Well-documented API

• Production-ready

• Active maintenance

📖 Documentation

• Full Documentation

• API Reference

• EU AI Act Compliance Guide

🛡️ Compliance

This MCP server is built with EU AI Act compliance built-in:

• ✅ Article 9 — Risk Management System

• ✅ Article 13 — Transparency & Instructions for Use

• ✅ Article 15 — Bias Detection & Testing

• ✅ Article 26 — FRIA Support (where applicable)

• ✅ Article 50 — AI Content Watermarking (where applicable)

Need help getting compliant? Book a free 15-min diagnostic →

🏢 Enterprise

Need custom development, SLA guarantees, or white-label deployment?

• Pro: $99/mo — Full MCP suite + EU AI Act tracking

• Enterprise: $499/mo — Custom dev + SLA + Dedicated support

View Pricing → | Contact Sales →

🤝 Part of the MEOK Ecosystem

This server is part of the MEOK AI Labs ecosystem — 300+ MCP servers for sovereign AI governance.

📜 License

MIT © CSOAI-ORG

Pairs with MEOK Governance Suite

Build something that touches users? You need compliance. MEOK ships 38 governance MCPs that drop in alongside this tool — EU AI Act, DORA, NIS2, CRA, GDPR, ISO 42001, FDA SaMD, MDR, Basel, MiFID II, MiCA, COPPA, and more.

# One-shot install of the governance pack
npx meok-setup --pack governance

Free tier: 10 calls/day per MCP. Pro tier (£79/mo): unlimited + cryptographically signed compliance attestations your auditor verifies independently.

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Configuration

Add to your claude_desktop_config.json (Claude Desktop) or your MCP client config:

{
  "mcpServers": {
    "workout-planner-ai-mcp": {
      "command": "uvx",
      "args": ["workout-planner-ai-mcp"]
    }
  }
}

Or: pip install workout-planner-ai-mcp then run the workout-planner-ai-mcp command (stdio transport).

Examples

Once configured, ask your assistant, for example:

• "Use create_workout to …"

• "Use track_progress to …"

• "Use suggest_exercises to …"