# Trackly CLI

> Use this tool when you need to efficiently track and manage a large volume of jobs across multiple companies. The Trackly CLI provides a command-line interface to streamline job tracking, while the MCP server enables seamless integration with AI agents, solving problems related to job monitoring and automation. It accepts job data as input and outputs tracked job information, ideal for use cases involving high-volume job processing and analytics.

Canonical page: https://skillsregistry.net/skills/io-github-kevinastuhuaman-trackly  
JSON: https://api.skillsregistry.net/v1/skills/io-github-kevinastuhuaman-trackly

## Description

Job tracking CLI + MCP server for AI agents. 99K+ jobs, 775+ companies.

## Trust

- **Trust score (0–1):** 0.74
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 0.1.10
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.kevinastuhuaman%2Ftrackly)
- **Repository:** <https://github.com/kevinastuhuaman/trackly-cli>

## 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": "io-github-kevinastuhuaman-trackly"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-kevinastuhuaman-trackly` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-kevinastuhuaman-trackly/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