# aim

> aim — persistmcp-aim. Use this tool when you need to track and monitor workouts with ease, logging exercises in plain language to receive detailed feedback on sets, weights, and progress. It solves the problem of manually recording and analyzing workout data, providing a convenient interface for inputting and reviewing exercise routines. Ideal for fitness enthusiasts and athletes, it outputs personalized summaries and progression tracking, accessible through a simple and intuitive interface.

Canonical page: https://skillsregistry.net/skills/persistmcp-aim  
JSON: https://api.skillsregistry.net/v1/skills/persistmcp-aim

## Description

Workout tracker MCP server for Claude and ChatGPT. Log workouts in plain language; your assistant reads back sets, weights, 1RM and progression.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/persistmcp/aim)

## 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": "persistmcp-aim"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/persistmcp-aim` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/persistmcp-aim/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