Skip to main content
Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Instructions

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.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
get_current_weekA

The current week's training plan: every workout with status (Proposto = prescribed / Feito = done / Feito Avulso = auto-imported, not prescribed), modality, prescribed distance (planned_km is the honest number; the raw distance_km field is blank on interval days), pace/HR windows, the coach's structured session, and what SisRUN matched as delivered.

get_weekA

The training plan for the week containing date (YYYY-MM-DD). Navigating far from the current week costs one request per week hop.

get_upcomingA

Prescribed workouts (status Proposto) from today forward, across the current week plus weeks_ahead future weeks (default 1, max 8).

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

Latest Blog Posts

MCP directory API

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

curl -X GET 'https://glama.ai/api/mcp/v1/servers/cdutr/sisrun-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server