Skip to main content
Glama
Thecimal

Quantified Self MCP Server

Related Servers

Alternatives to Quantified Self MCP Server

  • A
    license
    A
    quality
    A
    maintenance
    MCP server for the Google Health API: heart rate, activity, sleep, SpO2, HRV, ECG and irregular-rhythm notifications, read into a local SQLite cache for fast offline queries and trend analysis. OAuth 2.0 with automatic token refresh, incremental sync, a cache-only offline mode, and a doctor command that diagnoses a setup without spending quota.
    6
    19
    GPL 3.0

Related Servers

  • F
    license
    A
    quality
    B
    maintenance
    Enables LLMs to answer small business finance questions about spending, sales trends, cash flow projections, and profitability using a local SQLite database.
    6
    -
  • A
    license
    Not graded
    quality
    D
    maintenance
    Enables querying personal data synced from services like Lunch Money and Strava using SQL via Claude.
    6 npm
    1
    MIT
  • A
    license
    B
    quality
    C
    maintenance
    Enables AI agents to interact with local SQLite databases with full CRUD, schema introspection, foreign key relations, generated columns, and multi-format import/export (CSV, JSON, XLSX) through natural language.
    26
    9 npm
    MIT

TDQS

A4/5.0

Scored across 18 tools

Disambiguation4/5

Each tool has a distinct purpose, and the 'Do not use this tool when' cross-references make boundaries unusually explicit. The analytics cluster (get_baseline, detect_metric_anomalies, calculate_metric_trend, compare_metric_periods, find_metric_correlation, get_recent_changes, explain_metric_change) still requires careful reading to select correctly.

Naming Consistency4/5

All names follow a readable snake_case verb_noun pattern and clearly describe their action. The main inconsistency is using read_* for some retrieval tools and get_* for others, but there is no chaotic mixing of styles.

Tool Count4/5

18 tools is slightly above the ideal 3-15 range, but the count is justified by the server's scope: day-level metrics, raw measurements, workout sessions, analytics, and export. No tool feels redundant or like filler.

Completeness4/5

The surface covers logging, clearing, reading, aggregation, analytics, and export for daily metrics, raw measurements, and workout sessions. The main gap is the absence of delete/update operations for raw measurements and workout sessions, since clear_metric only removes day-level metric values.

Maintenance

ActivityMaintained
ResponsivenessResponsive