Nightscout MCP Server
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Alternatives to Nightscout MCP Server
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Related Servers
- AlicenseNot gradedqualityDmaintenanceConnects AI assistants to Nightscout for real-time glucose monitoring, analysis, and treatment logging, enabling natural language interaction with CGM data.5MIT
- AlicenseBqualityDmaintenanceEnables AI assistants to access and analyze Continuous Glucose Monitor (CGM) data from Nightscout, providing real-time readings, history, and analytics.71MIT
- AlicenseNot gradedqualityBmaintenanceA Model Context Protocol (MCP) server that connects Claude to your personal Dexcom CGM (Continuous Glucose Monitor) for assistive diabetes management intelligence.MIT
- AlicenseNot gradedqualityBmaintenanceRead-only server that lets you query your Nightscout CGM data via natural language, including glucose levels, time-in-range, insulin-on-board, site ages, and hourly patterns.MIT

Sensor Bio MCP Serverofficial
AlicenseAqualityDmaintenanceConnects Sensor Bio wearable data to AI assistants via the Model Context Protocol, enabling queries about sleep, heart rate, activity, and other biometrics.131MIT- FlicenseNot gradedqualityDmaintenanceProvides access to Dexcom G7 continuous glucose monitor data, enabling AI assistants to retrieve current glucose readings and historical data.14-
TDQS
Scored across 21 tools
Most tools have a distinct resource type (glucose, treatments, profile, device), but the analytics cluster overlaps: weekly_comparison vs compare_periods, get_statstics vs get_daaily_report, and detect_paterns vs overnight_analysis cover similar ground. Descriptions reduce ambiguity, but an agent could still misselect between comparison/statistics tools.
The majority of names follow a readable snake_case get_/analyze_/compare_ verb pattern, with clear nouns. Minor deviations like weekly_comparison, glucose_at_time, and a1c_estimator omit a verb, but the overall naming is predictable and easy to scan.
21 tool is on the heavy side for an MCP server, especially with many single-purpose analysis tools such as carb_ratio_check, insulin_sensitivity_check, and compression_low_analysis. It is not wildly bloated, but several routines could has been consolidated without hurting the server's utility.
The set covers current glucose, history, treatments, profile/device status, reporting, pattern detection, meal/overnight analysis, CSV export, and adding treatments/notes, so the main Nightscout workflows have no dead ends. Minor gaps include no update/delete for treatments/notes and no dedicated event-type filtering beyond find_events.