# io.github.rwestergren/cronometer-api-mcp

> io.github.rwestergren/cronometer-api-mcp — rwestergren-cronometer-api-mcp. Use this tool when you need to manage and track nutrition data, enabling seamless interaction with Cronometer's mobile REST API for food diary management, nutrition insights, and biometric tracking. It solves problems related to nutrition tracking, food search, and data retrieval, providing a comprehensive interface for users to input food entries and retrieve detailed nutrition information. Ideal for health and wellness applications, it accepts inputs such as food searches and diary entries, and outputs nutrition data and biometric insights.

Canonical page: https://skillsregistry.net/skills/rwestergren-cronometer-api-mcp  
JSON: https://api.skillsregistry.net/v1/skills/rwestergren-cronometer-api-mcp

## Description

MCP server for Cronometer nutrition tracking, enabling food diary management, nutrition data retrieval, food search, and biometric tracking via Cronometer's mobile REST API.

## Trust

- **Trust score (0–1):** 0.61
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pgtmz8txgm)
- **Repository:** <https://github.com/rwestergren/cronometer-api-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": "rwestergren-cronometer-api-mcp"
    }
  }
}
```

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