The MCP Weather Server provides hourly weather forecasts for specified locations using the AccuWeather API.
You can:
Get current weather conditions (temperature, humidity, precipitation status, weather description)
Retrieve a detailed 12-hour forecast with hourly data
Obtain forecasts by providing a location name
Access precipitation probability, type, and intensity information
The server features easy setup with uv for dependencies and requires AccuWeather API configuration in a .env file.
Provides weather data including current conditions and hourly forecasts for locations
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@MCP Weather Server what's the weather like in Tokyo right now?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
A simple MCP server that provides hourly weather forecasts using the AccuWeather API.
Install dependencies using uv:
uv venv
uv syncCreate a .env file with your AccuWeather API key:
ACCUWEATHER_API_KEY=your_api_key_hereYou can get an API key by registering at AccuWeather API.
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"
}
}
}
}Response:
{
"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"
}
]
}The API provides:
Current weather conditions including temperature, weather description, humidity, and precipitation status
12-hour forecast with hourly data including:
Relative time from current time
Temperature in Celsius
Weather description
Precipitation probability, type, and intensity
Get hourly weather forecast for a location.
| Name | Required | Description | Default |
|---|---|---|---|
| location | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It mentions 'Get' which implies a read operation, but fails to describe any behavioral traits such as rate limits, authentication needs, error handling, or what the forecast includes. This leaves significant gaps for a tool that likely interacts with external data.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, efficient sentence that directly states the tool's function without any wasted words. It is appropriately sized and front-loaded, making it easy to parse quickly.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (weather forecasting likely involves external APIs), lack of annotations, no output schema, and incomplete parameter documentation, the description is insufficient. It doesn't explain return values, error cases, or operational constraints, leaving the agent poorly informed.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The description adds minimal meaning beyond the input schema, which has 0% coverage. It implies the 'location' parameter is used to specify where to get the forecast, but doesn't clarify format (e.g., city name, coordinates) or constraints. With one parameter and low schema coverage, the description provides some context but doesn't fully compensate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Get') and resource ('hourly weather forecast for a location'), making the tool's purpose immediately understandable. It doesn't need to differentiate from siblings since none exist, but it could be more specific about what 'hourly weather forecast' entails (e.g., temperature, precipitation).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives or in what context. The description states what it does but offers no information about prerequisites, timing, or limitations, leaving the agent without usage direction.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
get_hourly_weatherScored 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.
Unclaimed servers have limited discoverability.
If you are the server author, to access and configure the admin panel.
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