babybuddy-mcp
OfficialRelated Servers
Alternatives to babybuddy-mcp
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityDmaintenanceIntegrates with self-hosted BabyBuddy to log and retrieve baby care data such as feedings, sleep, diaper changes, and measurements via natural language.4Apache 2.0
- AlicenseNot gradedqualityBmaintenanceEnables AI assistants such as Claude, ChatGPT and Gemini to read wearable health data — daily activity, sleep stages, heart rate, SpO2, HRV, workouts, weight and nutrition — through a self-hosted, OAuth-protected Cloudflare Worker endpoint. It also lets users log weight, body fat, water, food, exercises, mood and symptoms by voice or chat, while leaving sensor-recorded data read-only.MIT
- AlicenseNot gradedqualityBmaintenanceEnables interaction with Baby Daybook data through Firebase, allowing users to manage babies, activities, growth, sleep predictions, and more via natural language commands.441 npm2MIT
- AlicenseCqualityBmaintenanceHuckleberry MCP server for Claude, Cursor, and other AI assistants. Query and log baby sleep, feeds, diapers, growth, pumping, and solids.2917 npm1MIT
- AlicenseNot gradedqualityDmaintenanceConnects AI assistants to Nightscout for real-time glucose monitoring, analysis, and treatment logging, enabling natural language interaction with CGM data.7MIT
- AlicenseNot gradedqualityCmaintenanceAn always-on MCP server that lets AI assistants read and write sleep, feeding, diaper, and growth records for the Huckleberry baby-tracking app through a Cloudflare Worker using the Firebase REST API.ISC
TDQS
Scored across 63 tools
Every tool targets a unique resource-action pair, such as feedings_create_feeding vs pumping_create_pumping. Even the many measurement types are clearly separated by their specific noun (bmi, height, weight, head_circumference, temperature), leaving no ambiguity between tools.
Tools follow a consistent <domain>_<verb>_<entity> pattern, with domains consistently pluralized (feedings_, measurements_, etc.) and entity names switching between singular and plural only as grammatical context demands. The pattern is uniform and predictable across all 63 tools.
With 63 tools, the count far exceeds the 50+ threshold defined as an extreme mismatch. While each tool serves a clear purpose, the sheer number makes the toolset unwieldy, likely overwhelming agents with context and selection overhead. The scope could be split into multiple focused servers.
The toolset covers all major Baby Buddy resources—children, feedings, pumping, diapers, sleep, tummy time, measurements, notes, tags, medications, timers, and profile—with full CRUD on most entities. The only notable gap is the absence of a child delete operation, and many records lack individual getters, though list-with-filters compensates for that.