# io.github.rog0x/env

> Use this tool when you need to parse dotenv files, access system information, or manage ports for AI agents, solving problems related to environment variable management and system integration. It takes configuration files and system data as inputs and provides parsed environment variables, system info, and port details as outputs. Ideal for use cases requiring seamless interaction between AI agents and their underlying system environments.

Canonical page: https://skillsregistry.net/skills/io-github-rog0x-env  
JSON: https://api.skillsregistry.net/v1/skills/io-github-rog0x-env

## Description

Dotenv parser, ports, system info for AI agents

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.2
- **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.rog0x%2Fenv)
- **Repository:** <https://github.com/rog0x/mcp-env-tools>

## 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-rog0x-env"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-rog0x-env` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-rog0x-env/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