# MCP Weather Demo

> Use this tool when you need to integrate external weather data into AI models, such as Claude AI, to enhance their capabilities and accuracy. The MCP Weather Demo solves the problem of manual data copying by providing a seamless interface for Large Language Models (LLMs) to access weather tools and prompts. It takes in AI model requests and outputs relevant weather data, making it ideal for use cases that require up-to-date and accurate weather information.

Canonical page: https://skillsregistry.net/skills/nick-telsan-mcp  
JSON: https://api.skillsregistry.net/v1/skills/nick-telsan-mcp

## Description

A demonstration server for ModelContextProtocol that provides weather tools and prompts for Claude AI, allowing LLMs to access external data without manual copying.

## Trust

- **Trust score (0–1):** 0.94
- **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/jhlqve8z2v)
- **Repository:** <https://github.com/nick-telsan/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": "nick-telsan-mcp"
    }
  }
}
```

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