# mon-serveur-mcp

> Use this tool when you need to provide large language models (LLMs) with access to system information and real-time weather data. It exposes system tools such as disk usage and file listing, as well as weather information via Open-Meteo, to MCP-compatible LLMs. Ideal for use cases requiring integration of external data sources into LLM workflows, with a simple interface for querying and retrieving relevant data.

Canonical page: https://skillsregistry.net/skills/joachimdaval-estiam-genai-mcp  
JSON: https://api.skillsregistry.net/v1/skills/joachimdaval-estiam-genai-mcp

## Description

Exposes system tools (disk usage, file listing) and weather information via Open-Meteo to MCP-compatible LLMs.

## Trust

- **Trust score (0–1):** 0.96
- **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/njnklfh2dc)
- **Repository:** <https://github.com/JoachimDAVAL/Estiam_GenAI_MCP->

## 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": "joachimdaval-estiam-genai-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/joachimdaval-estiam-genai-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/joachimdaval-estiam-genai-mcp/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