# MCP Weather and Currency Assistant

> MCP Weather and Currency Assistant — adri14gl-mcp-weather-and-currency-assistant. Use this tool when you need to retrieve current weather conditions, forecasts, or convert currencies using natural language queries. It solves problems related to accessing weather and currency information quickly and efficiently, providing up-to-date data through its integration with Open-Meteo and ExchangeRate-API. The tool accepts natural language inputs and returns relevant weather forecasts or currency conversion outputs.

Canonical page: https://skillsregistry.net/skills/adri14gl-mcp-weather-and-currency-assistant  
JSON: https://api.skillsregistry.net/v1/skills/adri14gl-mcp-weather-and-currency-assistant

## Description

A local MCP server that integrates FastMCP with OpenAI to enable natural language queries for current weather, forecasts, and currency conversion using ExchangeRate-API and Open-Meteo.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/an0rh6ttqi)
- **Repository:** <https://github.com/adri14gl/MCP-Weather-and-Currency-Assistant>

## 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": "adri14gl-mcp-weather-and-currency-assistant"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/adri14gl-mcp-weather-and-currency-assistant` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/adri14gl-mcp-weather-and-currency-assistant/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
