# mcp-server

> Use this tool when you need to provide AI agents with a controlled environment to execute system commands and access system information via HTTP. It solves problems related to AI training and testing by exposing essential system tools, such as IP and hostname retrieval, file operations, and ping functionality. The mcp-server takes in HTTP requests and returns relevant system data, making it ideal for use cases that require AI agents to interact with system-level information.

Canonical page: https://skillsregistry.net/skills/gagocode-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/gagocode-mcp-server

## Description

An educational MCP server that exposes system tools (like IP, hostname, file operations, ping) for AI agents to execute via HTTP.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wojy5xl6pw)
- **Repository:** <https://github.com/Gagocode/mcp-server>

## 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": "gagocode-mcp-server"
    }
  }
}
```

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