MusclesWorked
Give fitness or coaching apps accurate exercise-to-muscle data, workout analysis, and alternative-move suggestions via MCP.
Overview
MusclesWorked is a MCP server for the Build phase that maps 856 exercises to 65 muscles with workout analysis and alternatives for agent-driven fitness apps.
What is this MCP server?
- 856 exercises mapped to 65 muscles with workout analysis support
- Surfaces alternative exercises for programming and injury-aware swaps
- npm package musclesworked-mcp v0.1.0 with stdio transport
- Requires MUSCLESWORKED_API_KEY from musclesworked.com/dashboard
- Open-source repo csjoblom/musclesworked-mcp for local MCP wiring
- Package version 0.1.0 (musclesworked-mcp, stdio)
Community signal: 2 GitHub stars.
What problem does it solve?
Fitness app solo builders waste weeks normalizing exercise libraries and muscle targets when agents could call a maintained API instead.
Who is it for?
Developers building workout planners, coaching tools, or gym apps who want MCP-native exercise intelligence during implementation.
Skip if: Non-fitness products, or teams unwilling to create a MusclesWorked API key and run an npm stdio MCP package.
What do I get? / Deliverables
Your agent can query exercises, muscles, analyses, and alternatives so integration code and UX copy stay consistent with MusclesWorked data.
- Agent-callable exercise and muscle lookups for app backends
- Workout analysis and alternative-exercise recommendations in generated code
- Faster integration of a 856-exercise catalog without manual curation
Recommended MCP Servers
Journey fit
Builders integrate third-party exercise intelligence while implementing product features, which maps to Build rather than pure marketing or ops. Integrations is the right shelf for an npm stdio MCP that wraps the MusclesWorked API inside your agent-driven backend or app scaffold.
How it compares
Specialized exercise dataset MCP—not a generic CRM, payments, or GEO launch server.
Common Questions / FAQ
Who is MusclesWorked for?
Solo builders and small teams creating fitness, coaching, or wellness apps who want muscle and exercise data inside their AI coding workflow.
When should I use MusclesWorked?
Use it while building features that list exercises, visualize muscles worked, analyze sessions, or suggest alternative movements.
How do I add MusclesWorked to my agent?
Install the musclesworked-mcp npm package, set MUSCLESWORKED_API_KEY from musclesworked.com/dashboard, and register the stdio server in your MCP client.