# gymtracker

> Use this tool when you need to integrate AI coding agents with training data management, enabling them to read and write data seamlessly. The gymtracker tool solves problems related to data accessibility and consistency, providing a universal interface for AI agents to interact with training data. It accepts training data as input and outputs formatted data for AI model development, ideal for use cases involving machine learning model training and testing.

Canonical page: https://skillsregistry.net/skills/benzalglez-gymtracker-plugin  
JSON: https://api.skillsregistry.net/v1/skills/benzalglez-gymtracker-plugin

## Description

Universal MCP server for Gymtracker that enables AI coding agents to read and write training data.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/sxzsmminkl)
- **Repository:** <https://github.com/benzalglez/gymtracker-plugin>

## 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": "benzalglez-gymtracker-plugin"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/benzalglez-gymtracker-plugin` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/benzalglez-gymtracker-plugin/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