一个简单的 MCP 服务器，使用 AccuWeather API 提供每小时天气预报。
使用uv安装依赖项：
uv venv
uv sync使用您的 AccuWeather API 密钥创建一个.env文件：
ACCUWEATHER_API_KEY=your_api_key_here您可以通过在AccuWeather API注册来获取 API 密钥。
Related MCP server: Weather-Open-Meteo-MCP
{
"mcpServers": {
"weather": {
"command": "uvx",
"args": ["--from", "git+https://github.com/adhikasp/mcp-weather.git", "mcp-weather"],
"env": {
"ACCUWEATHER_API_KEY": "your_api_key_here"
}
}
}
}回复：
{
"location": "Jakarta",
"location_key": "208971",
"country": "Indonesia",
"current_conditions": {
"temperature": {
"value": 32.2,
"unit": "C"
},
"weather_text": "Partly sunny",
"relative_humidity": 75,
"precipitation": false,
"observation_time": "2024-01-01T12:00:00+07:00"
},
"hourly_forecast": [
{
"relative_time": "+1 hour",
"temperature": {
"value": 32.2,
"unit": "C"
},
"weather_text": "Partly sunny",
"precipitation_probability": 40,
"precipitation_type": "Rain",
"precipitation_intensity": "Light"
}
]
}该 API 提供：
当前天气状况，包括温度、天气描述、湿度和降水状况
12 小时预报，每小时数据包括：
相对于当前时间
摄氏度
天气描述
降水概率、类型和强度
Get hourly weather forecast for a location.
Inputs: location (required).
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool has a clear and distinct purpose, making it impossible for an agent to misselect between multiple options.
The single tool name follows a consistent verb_noun pattern (get_hourly_weather). Since there is only one tool, there are no deviations or mixed conventions to evaluate, resulting in perfect consistency.
A single tool for a weather server is too few for the apparent scope, as it only provides hourly forecasts without coverage for current conditions, daily forecasts, or other common weather data. This minimal set limits functionality and will likely cause agent failures in broader weather-related tasks.
The tool surface is severely incomplete for a weather domain, lacking obvious gaps such as current weather, daily forecasts, alerts, or historical data. With only hourly forecasts, agents cannot perform comprehensive weather-related operations, leading to significant limitations in coverage.
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