qweather-mcp
qweather-mcp
Englisch |简体中文
MCP-Server für die QWeather- API, der umfassende Abfragefunktionen für Wetterinformationen über das Model Context Protocol (MCP) bietet.
✨ Funktionen
🌤️ Wetterabfragen in Echtzeit
📅 Mehrtägige Wettervorhersagen (3/7/10/15/30 Tage)
🔑 Einfache API-Schlüsselkonfiguration
🔌 Unterstützung für benutzerdefinierte API-Basis-URLs
🛠️ Vollständige Tool-Integration
Related MCP server: OpenWeatherMap MCP Server
📦 Installation
Über Smithery
Empfohlen: Automatische Installation für Claude Desktop mit Smithery :
npx -y @smithery/cli install @overstarry/qweather-mcp --client claudeManuelle Konfiguration
Holen Sie sich zunächst Ihren API-Schlüssel von der QWeather-Konsole .
Starten Sie den Server:
# stdio server
npx -y qweather-mcpKonfigurieren Sie Umgebungsvariablen:
QWEATHER_API_BASE=https://api.qweather.com
QWEATHER_API_KEY=<your-api-key>JSON-Konfiguration
Fügen Sie Ihrer Konfigurationsdatei hinzu:
{
"mcpServers": {
"qweather": {
"command": "npx",
"args": ["-y", "qweather-mcp"],
"env": {
"QWEATHER_API_BASE": "<your-api-url>",
"QWEATHER_API_KEY": "<your-api-key>"
}
}
}
}🛠️ Verfügbare Tools
Wetter jetzt abrufen
Erhalten Sie aktuelle Wetterinformationen für einen bestimmten Ort.
Wettervorhersage abrufen
Erhalten Sie Wettervorhersageinformationen für einen bestimmten Ort mit anpassbaren Vorhersagetagen:
3-Tages-Vorhersage
7-Tage-Vorhersage
10-Tage-Vorhersage
15-Tage-Vorhersage
30-Tage-Vorhersage
Zu den Prognosedaten gehören:
Temperaturbereich (min./max.)
Tag-/Nachtwetterbedingungen
Sonnenaufgangs-/Sonnenuntergangszeiten
Fällung
Luftfeuchtigkeit
Windverhältnisse
UV-Index
minütlich Niederschlag ermitteln
Bietet minutengenaue Niederschlagsvorhersagen für die nächsten 2 Stunden, einschließlich:
Niederschlagsart (Regen/Schnee)
Niederschlagsmenge pro Minute
Präzise Zeitvorhersagen
Echtzeit-Prognosebeschreibungen
Stündliche Vorhersage erhalten
Bietet stündliche Wettervorhersagen für 24, 72 oder 168 Stunden, einschließlich:
Temperaturänderungen
Wetterbedingungen
Windrichtung und -stärke
Relative Luftfeuchtigkeit
Luftdruck
Niederschlagswahrscheinlichkeit
Wolkenbedeckung
Wetterwarnung erhalten
Bietet Wetterwarninformationen in Echtzeit, darunter:
Warnung ausstellende Behörde
Warnstufe und -typ
Detaillierter Warninhalt
Gültigkeitsdauer der Warnung
Verwandte Empfehlungen
Wetterindizes abrufen
Bietet Informationen zu Wetterlebensindizes und unterstützt verschiedene Indextypen:
Sportindex
Autowaschindex
Dressing-Index
Fischereiindex
UV-Index
Tourismusindex
Allergieindex und 16 weitere Lebensindizes
Luftqualität ermitteln
Bietet Echtzeitdaten zur Luftqualität, darunter:
AQI-Index
Luftqualitätsniveau
Primäre Schadstoffe
Gesundheitstipps
Schadstoffkonzentrationen
Stündliche Luftqualitätsmessung
Bietet stündliche Luftqualitätsvorhersagen für die nächsten 24 Stunden:
Stündliche AQI-Vorhersagen
Veränderungen der Schadstoffkonzentration
Gesundheitsverträglichkeitsprüfung
Schutzempfehlungen
Tägliche Luftqualitätsdaten
Bietet eine Luftqualitätsvorhersage für die nächsten 3 Tage:
Tägliche AQI-Vorhersagen
Primäre Schadstoffprognosen
Änderungen der Luftqualität
Hinweise zum Gesundheitsschutz
🤝 Beitragen
Wir freuen uns über Probleme und Verbesserungen! Bitte beachten Sie unsere Beitragsrichtlinien.
📄 Lizenz
MIT
🔗 Verwandte Links
Available Tools
2 toolsget-weather-nowC
Get current weather for a location using QWeather API
| Name | Required | Description | Default |
|---|---|---|---|
| location | Yes | Location ID for the city |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations provided. The description implies a read operation but lacks details about API key requirements, error handling, or response format. Minimal transparency.
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?
Very concise single sentence. Could be improved by adding a hint about the sibling tool or output format without being verbose.
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 low complexity, the description is incomplete. It does not explain how to obtain the location ID or what the output contains, missing essential context for the agent.
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?
Schema coverage is 100%, with the parameter described as 'Location ID for the city'. The description adds no extra parameter info, so baseline 3 is appropriate.
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 'Get current weather for a location' with a specific API mention. However, it does not differentiate from sibling 'lookup-city', which likely provides city IDs.
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 on when to use this tool versus alternatives. The description does not mention that the location parameter might come from the sibling tool 'lookup-city'.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
lookup-cityC
Look up city information by name
| Name | Required | Description | Default |
|---|---|---|---|
| cityName | Yes | Name of the city to look up |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must carry the full burden of behavioral disclosure. The description only states the basic action, with no mention of side effects, authentication needs, rate limits, or error handling (e.g., if city not found). This is insufficient for a tool with no annotations.
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 concise sentence, front-loaded with the action. It could be more structured (e.g., listing what information is returned), but it is not verbose.
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?
For a simple lookup tool with one parameter and no output schema, the description does not specify what fields of city information are returned, nor any behavioral context. This leaves the agent uncertain about the response format.
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?
Schema description coverage is 100% (single parameter well-described in schema). The description adds no extra meaning beyond 'by name', but the schema already provides a clear description. Baseline 3 is appropriate.
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 'look up city information by name', specifying verb and resource. However, it does not differentiate from the sibling tool 'get-weather-now', which may also involve city queries. The description lacks detail on what information is returned.
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 on when to use this tool versus alternatives. No mention of prerequisites, limitations, or cases to avoid. The sibling tool exists but is not differentiated.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
2 tool updates
v1.0.0- First observed
get-weather-now - First observed
lookup-city
TDQS
Scored across 2 tools
The two tools serve clearly distinct purposes: one retrieves current weather data, and the other looks up city information. There is no overlap or ambiguity.
Both tools follow a consistent verb_noun pattern using snake_case: get-weather-now and lookup-city. The naming is predictable and clear.
With only 2 tools, the set is on the lower end of reasonable. While it covers the basics, it feels minimal for a weather API, which typically includes more operations like forecasts or alerts.
The tool set lacks essential weather features such as forecasts, historical data, or severe weather alerts. For a weather-focused server, the absence of these common operations is a notable gap.
Maintenance
Related MCP Connectors
OpenWeather MCP — wraps the OpenWeatherMap API (openweathermap.org)
Hosted MCP server for Xweather weather data: conditions, forecasts, alerts, and more.
Smarter Weather MCP: forecasts, alerts, outlooks, observations, AQI, grids, and map imagery.
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