mcp-takeout-googlefit
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
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
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| clean_empty_data_filesA | Identifica e limpa ficheiros JSON/CSV sem pontos de dados válidos na pasta ./data |
| scan_google_fit_dataA | Percorre a pasta ./data, deteta as pastas exportadas do Google Fit (Atividades, Métricas de atividade diária, Todas as sessões, Todos os dados) e lista os ficheiros |
| get_daily_activityA | Extrai o total de passos, calorias, minutos ativos e distância das métricas diárias, ignorando ficheiros vazios |
| get_workout_logsA | Extrai registos das pastas Atividades, Todas as sessões e segmentos de atividade física, ignorando ficheiros vazios |
| get_sleep_recordsA | Extrai dados e horários de sono a partir dos ficheiros derived_com.google.internal.sleep, ignorando ficheiros vazios |
| read_fitness_fileA | Lê o conteúdo bruto ou parseado de qualquer ficheiro dentro da pasta ./data |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
| analyze_progress | Analisa a evolução de passos, calorias gastas, minutos ativos e treinos |
| generate_workout_plan | Gera um plano de treino personalizado baseado no histórico das pastas do Google Fit |
| give_coaching_feedback | Fornece comentários de acompanhamento diário com base nos dados de atividade e sono |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
| get_fitness_summary | |
| list_fitness_documents |
TDQS
Scored across 6 tools
Each tool has a distinct purpose: cleaning empty files, scanning directory structure, extracting daily activity, workout logs, sleep records, and reading any file. No overlapping functionality.
All tool names follow the snake_case verb_noun pattern (clean, scan, get, get, get, read). Consistent and predictable naming.
Six tools is well-scoped for a Google Fit Takeout processing server, covering both extraction and utility operations without being excessive.
The tool set covers the main Google Fit data types (daily metrics, workouts, sleep) plus scanning, cleaning, and arbitrary file reading. No obvious gaps for typical workflows.