Schema | musclesworked-mcp

musclesworked-mcp

Describes the environment variables required to run the server.

Name	Required	Description	Default
`MUSCLESWORKED_API_KEY`	Yes	API key for musclesworked.com, obtainable from musclesworked.com/dashboard. This can also be provided as a command line argument using --api-key.
`MUSCLESWORKED_API_URL`	No	Override the base URL for the API.	https://musclesworked.com

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{ "listChanged": true }

Functions exposed to the LLM to take actions

Name	Description
get_muscles_workedA	Get the primary, secondary, and stabilizer muscles worked by an exercise. Use search_exercises first if you don't know the exercise ID.
find_exercisesA	Find exercises that target a specific muscle, with optional filters. Use search_muscles first if you don't know the muscle ID.
analyze_workoutB	Analyze a workout for muscle coverage, gaps, and imbalances. Pass a list of exercise names or IDs.
get_alternativesA	Find alternative exercises ranked by muscle overlap score. Use search_exercises first if you don't know the exercise ID.
search_exercisesA	Search for exercises by name. Returns matching exercise IDs and names. Use this to discover exercise IDs before calling get_muscles_worked or get_alternatives.
search_musclesA	Search for muscles by name. Returns matching muscle IDs and names. Use this to discover muscle IDs before calling find_exercises.

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/csjoblom/musclesworked-mcp'

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