mcp-freestyle
Related Servers
Alternatives to mcp-freestyle
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityDmaintenanceRead-only MCP server for accessing glucose readings, charts, logbook, and statistics from LibreLink Up sensors, supporting any MCP client.MIT
- AlicenseAqualityDmaintenanceProvides real-time Dexcom CGM glucose data to MCP clients via the unofficial Share API, enabling queries like current glucose and recent readings within the last 24 hours.2MIT
- AlicenseNot gradedqualityAmaintenanceConnects CareSens continuous glucose monitor accounts to MCP-capable AI tools such as ChatGPT and Claude, letting users check current glucose readings, past measurement history, and period-based glucose statistics through natural language. It runs as a deployable server that authenticates with a CareSens session and exposes the data over a private MCP endpoint.AGPL 3.0
- AlicenseAqualityDmaintenanceMCP server for Dexcom CGM glucose data, enabling AI agents to access and analyze continuous glucose monitor readings for health intelligence applications.10MIT
- AlicenseNot gradedqualityBmaintenanceEnables secure access to continuous glucose monitoring data from FreeStyle Libre sensors, with tools for current readings, history, statistics, trends, and sensor info, plus an optional Streamable HTTP deployment behind bearer-token authentication.MIT
- AlicenseNot gradedqualityBmaintenanceA Model Context Protocol (MCP) server that connects Claude to your personal Dexcom CGM (Continuous Glucose Monitor) for assistive diabetes management intelligence.MIT
TDQS
Scored across 2 tools
The two tools have clearly distinct purposes: one returns the most recent glucose reading, while the other returns a historical series over a requested time range. There is no overlap or ambiguity between them.
Both tool names follow the same 'get_' prefix followed by a descriptive noun (current_glucose, glucose_history). The naming pattern is consistent and predictable.
With only two tools, the server feels thin, but the domain is narrow (reading glucose data from a sensor). The two tools cover the essential operations, making the count borderline but not unreasonable.
The server provides access to both current and historical glucose data, which covers the core read-only functionality for the domain. Minor gaps exist (e.g., no health/sensor status), but the available tools are sufficient for the stated purpose.