# MCP Glucose Server

> Use this tool when you need to access and analyze glucose data for diabetes management and health monitoring. It enables AI assistants to query glucose readings, trends, and statistics from health storage APIs, providing natural language interfaces for user-friendly interactions. Ideal for use cases requiring effortless retrieval and interpretation of glucose data, such as patient care and health tracking applications.

Canonical page: https://skillsregistry.net/skills/lucas-1000-mcp-glucose  
JSON: https://api.skillsregistry.net/v1/skills/lucas-1000-mcp-glucose

## Description

Enables AI assistants to query glucose data from health storage APIs, providing natural language access to glucose readings, trends, and statistics for diabetes management and health monitoring.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-04-22

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/h214yi14hg)
- **Repository:** <https://github.com/lucas-1000/mcp-glucose>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "lucas-1000-mcp-glucose"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lucas-1000-mcp-glucose` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lucas-1000-mcp-glucose/pull`

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