# mcp-freestyle

> mcp-freestyle — lozit-mcp-freestyle. Use this tool when you need to integrate glucose data from FreeStyle sensors into your system, solving problems of manual data tracking and providing real-time insights for diabetes management. It reads current glucose levels and history via the LibreLinkUp API, offering explicit coverage and gap detection. Ideal for healthcare and wellness applications requiring automated glucose monitoring and analysis.

Canonical page: https://skillsregistry.net/skills/lozit-mcp-freestyle  
JSON: https://api.skillsregistry.net/v1/skills/lozit-mcp-freestyle

## Description

MCP server that reads glucose data from a FreeStyle sensor via the LibreLinkUp API, providing current glucose and history with explicit coverage and gaps.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** iot-hardware
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zgawlwz1jt)
- **Repository:** <https://github.com/lozit/mcp-freestyle>

## 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": "lozit-mcp-freestyle"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lozit-mcp-freestyle` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lozit-mcp-freestyle/pull`

---
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