# madridverde-mcp

> madridverde-mcp — imark21-madridverde-mcp. Use this tool when you need to access environmental open data from Madrid for AI-driven applications, solving problems related to urban planning, sustainability, and data analysis. It exposes Madrid's environmental data, providing inputs such as air quality, noise pollution, and green spaces, and outputs in a format suitable for AI processing. Ideal for use cases requiring real-time or historical environmental data from Madrid, enabling informed decision-making and data-driven insights.

Canonical page: https://skillsregistry.net/skills/imark21-madridverde-mcp  
JSON: https://api.skillsregistry.net/v1/skills/imark21-madridverde-mcp

## Description

MCP server exposing Madrid environmental open data for AI agents

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/iMark21/madridverde-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": "imark21-madridverde-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/imark21-madridverde-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/imark21-madridverde-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
