Schema | intervals-mcp

intervals-mcp

Describes the environment variables required to run the server.

Name	Required	Description	Default
No arguments

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": false }
`prompts`	{ "listChanged": false }
`resources`	{ "subscribe": false, "listChanged": false }
`experimental`	{}

Functions exposed to the LLM to take actions

Name	Description
get_training_contextA	Read activities, wellness and calendar events for an inclusive ISO date range.
get_performance_curvesB	Read power, pace, and heart-rate duration curves without modifying data.
get_athlete_profileA	Read health and body-composition fields from the athlete profile only.
get_personal_contextA	Read durable athlete preferences and constraints before planning or editing.
set_personal_factB	Remember one durable, non-secret athlete fact; the same section/key is replaced safely.
list_draft_plansA	List only plans managed by this server, including their current content hashes.
get_draft_planA	Read a managed plan and its workouts; reject plans outside the draft namespace.
create_draft_planC	Create a private managed library PLAN; never apply it to the calendar.
clone_draft_planC	Clone a managed draft plan to preserve a version before editing.
rename_draft_planC	Rename one managed library plan using the configured short display prefix.
add_workout_to_draftC	Add one structured workout to a managed library plan.
update_draft_workoutB	Replace one workout on a managed plan after checking the plan hash.
schedule_draft_planC	Apply one managed draft plan to the calendar on an exact future ISO date.
unschedule_draft_planB	Delete only calendar copies from one managed plan application; keep the library plan.

Interactive templates invoked by user choice

Name	Description
`draft_training_week`	Guide an agent through a safe weekly-plan drafting workflow.

Contextual data attached and managed by the client

Name	Description
`safety_policy`	Return the non-negotiable mutation boundary for this server.
`personal_context_resource`	Return the private durable athlete context that must inform planning.
`draft_plans_resource`	List managed AI draft plans as JSON.

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

curl -X GET 'https://glama.ai/api/mcp/v1/servers/santibacat/intervals-mcp'

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