# mcp-climate

> mcp-climate — pipeworx-io-mcp-climate. Use this tool when you need to access long-term climate projections and compare climate models, as it provides an interface to the Open-Meteo Climate API through an MCP server, accepting location and time inputs and outputting climate data and projections. It solves problems related to climate research, modeling, and forecasting, enabling users to analyze and compare climate scenarios. Ideal for use cases requiring historical climate data and future projections, such as environmental research and sustainability planning.

Canonical page: https://skillsregistry.net/skills/pipeworx-io-mcp-climate  
JSON: https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-climate

## Description

MCP server for the Open-Meteo Climate API — long-term climate projections and model comparisons

## 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:** api-integration
- **Updated:** 2026-09-26

## Source

- **Source listing:** [GitHub](https://github.com/pipeworx-io/mcp-climate)

## 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": "pipeworx-io-mcp-climate"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-climate` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-climate/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
