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Workout Planner Ai Mcp

csoai-org/workout-planner-ai-mcp

A fitness-focused MCP that surfaces three core tools: `create_workout` for generating training plans, `track_progress` for logging sessions and metrics, and `suggest_exercises` for pulling exercise recommendations. Built by MEOK AI Labs, it also calculates training volume across workouts. You'd reach for this when building AI agents that need to construct periodized programs, monitor client adherence, or dynamically recommend movements based on goals or equipment. Ships via pip or uvx, runs over stdio, and pairs with Claude Desktop out of the box. The repo highlights EU AI Act compliance hooks, though the fitness domain itself sits outside high-risk categories. Solid starting point if you're prototyping coaching bots or workout logging interfaces and want structured access to exercise primitives without rolling your own schema.

last updated
Jun 10, 2026
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Readme

MCP Scorecard: 86/100

Workout Planner Ai MCP

MEOK AI Labs GSPC License PyPI mcp-name: io.github.CSOAI-ORG/workout-planner-ai-mcp

Workout Planner Ai

PyPI Python

By MEOK AI Labs โ€” 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.


๐Ÿš€ 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

โœจ Features

  • MCP protocol compliant
  • Easy installation
  • Well-documented API
  • Production-ready
  • Active maintenance

๐Ÿ“– Documentation

  • Full Documentation
  • API Reference
  • EU AI Act Compliance Guide

๐Ÿ›ก๏ธ Compliance

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

  • โœ… Article 9 โ€” Risk Management System
  • โœ… Article 13 โ€” Transparency & Instructions for Use
  • โœ… Article 15 โ€” Bias Detection & Testing
  • โœ… Article 26 โ€” FRIA Support (where applicable)
  • โœ… Article 50 โ€” AI Content Watermarking (where applicable)

Need help getting compliant? Book a free 15-min diagnostic โ†’

๐Ÿข Enterprise

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

  • Pro: $99/mo โ€” Full MCP suite + EU AI Act tracking
  • Enterprise: $499/mo โ€” Custom dev + SLA + Dedicated support

View Pricing โ†’ | Contact Sales โ†’

๐Ÿค Part of the MEOK Ecosystem

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

DomainPurpose
councilof.aiEU AI Act compliance marketplace
safetyof.aiAI safety & monitoring
meok.aiSovereign AI platform
cobolbridge.aiLegacy modernization

๐Ÿ“œ License

MIT ยฉ CSOAI-ORG


Built with ๐Ÿ’œ by MEOK AI Labs ยท UK Companies House 16939677

MIT โ€” MEOK AI Labs

Pairs with MEOK Governance Suite

Build something that touches users? You need compliance. MEOK ships 38 governance MCPs that drop in alongside this tool โ€” 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 (ยฃ79/mo): unlimited + cryptographically signed compliance attestations your auditor verifies independently.

โ†’ Full catalogue: councilof.ai/catalogue โ†’ MEOK AI Labs: meok.ai

๐Ÿ’ธ Try MEOK in 30 seconds โ€” instant buy ladder

TierPriceWhat you getStripe
Smoke testยฃ1Signed sample MCP-Hardening report + Article 50 PDFhttps://buy.stripe.com/aFa7sNcgAdQS0ZT1Uc8k91t
Quick Kitยฃ9EU AI Act Article 50 implementation guide (C2PA + EU-Icon)https://buy.stripe.com/aFa7sNcgAdQS0ZT1Uc8k91t
Founder Callยฃ2930-min 1-on-1 with the founderhttps://buy.stripe.com/aFa7sNcgAdQS0ZT1Uc8k91t

Refundable. UK Stripe โ€” VAT-clean. Builds on the 81-MCP MEOK fleet. Verify any signed report at https://meok.ai/verify.

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 โ€ฆ"
  • "Use track_progress to โ€ฆ"
  • "Use suggest_exercises to โ€ฆ"

Details

Repository
github.com/csoai-org/workout-planner-ai-mcp
Package
workout-planner-ai-mcp
Transport
STDIO
Registry
MCP registry, active

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