# red_monitoreo_chile

> red_monitoreo_chile — negentropy-technologies-red-monitoreo-chile-mcp. Use this tool when you need to access and manage monitoring station data from Chilean networks, such as DGA, DMC, and Agromet, to fetch real-time data and locate stations. It centralizes catalog data with geometry and extraction protocol, solving problems of data dispersion and inaccessibility. This tool is ideal for applications requiring up-to-date environmental or meteorological data from Chilean sources.

Canonical page: https://skillsregistry.net/skills/negentropy-technologies-red-monitoreo-chile-mcp  
JSON: https://api.skillsregistry.net/v1/skills/negentropy-technologies-red-monitoreo-chile-mcp

## Description

A remote MCP server that centralizes the catalog of monitoring stations from three Chilean networks (DGA, DMC, Agromet) with geometry and extraction protocol, enabling agents to locate stations and fetch real data from the original sources.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/eqv9rrgvfc)
- **Repository:** <https://github.com/negentropy-technologies/red-monitoreo-chile-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": "negentropy-technologies-red-monitoreo-chile-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/negentropy-technologies-red-monitoreo-chile-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/negentropy-technologies-red-monitoreo-chile-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