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.
mcp-name: io.github.CSOAI-ORG/workout-planner-ai-mcp
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.
# 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
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| Domain | Purpose |
|---|---|
| councilof.ai | EU AI Act compliance marketplace |
| safetyof.ai | AI safety & monitoring |
| meok.ai | Sovereign AI platform |
| cobolbridge.ai | Legacy modernization |
MIT © CSOAI-ORG
Built with 💜 by MEOK AI Labs · UK Companies House 16939677
MIT — MEOK AI LabsBuild 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
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| Tier | Price | What you get | Stripe |
|---|---|---|---|
| Smoke test | £1 | Signed sample MCP-Hardening report + Article 50 PDF | https://buy.stripe.com/5kQ6oJ0xS3ce8sl7ew8k91j |
| Quick Kit | £9 | EU AI Act Article 50 implementation guide (C2PA + EU-Icon) | https://buy.stripe.com/5kQ6oJ0xS3ce8sl7ew8k91j |
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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).
Once configured, ask your assistant, for example:
create_workout to …"track_progress to …"suggest_exercises to …"