# Diabetes:M MCP Server

> Use this tool when you need to access and manage diabetes-related data through conversational interfaces. It integrates glucose readings, insulin data, food diaries, and health metrics, solving problems related to diabetes management and tracking. The tool takes natural language inputs and outputs relevant health information, making it ideal for users seeking a convenient and user-friendly way to monitor their diabetes data.

Canonical page: https://skillsregistry.net/skills/sedoglia-diabetes-m-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sedoglia-diabetes-m-mcp

## Description

Integrates Diabetes:M data with Claude Desktop to access glucose readings, insulin data, food diary, and health metrics through natural language conversations.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zrcunnda3k)
- **Repository:** <https://github.com/sedoglia/diabetes-m-mcp>

## 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": "sedoglia-diabetes-m-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sedoglia-diabetes-m-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sedoglia-diabetes-m-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt