HeFeng Weather MCP Server
Servidor MCP meteorológico de HeFeng
Un servidor de protocolo de contexto de modelo que proporciona datos de pronóstico meteorológico para ubicaciones en China a través de la API meteorológica de HeFeng.
Características
Obtenga datos meteorológicos en tiempo real
Obtenga el pronóstico del tiempo por horas (24h/72h/168h)
Obtenga el pronóstico meteorológico diario (3d/7d/10d/15d/30d)
Admite consulta de ubicación por coordenadas de longitud y latitud
Descripción completa del clima en China
Related MCP server: Hefeng QWeather MCP Server
API
Este servidor MCP proporciona la siguiente herramienta:
obtener el tiempo
Obtenga datos del pronóstico meteorológico para una ubicación específica.
Uso con MCP Host (por ejemplo, Claude Desktop)
Agregue esto a su claude_desktop_config.json
NPX
{
"mcpServers": {
"hefeng-weather": {
"command": "npx",
"args": ["hefeng-mcp-weather@latest", "--apiKey=${API_KEY}"]
}
}
}Licencia
Este servidor MCP cuenta con la licencia MIT. Esto significa que puede usar, modificar y distribuir el software libremente, sujeto a los términos y condiciones de la licencia MIT. Para más detalles, consulte el archivo de licencia en el repositorio del proyecto.
Available Tools
1 toolget-weatherB
获取中国国内的天气预报
| Name | Required | Description | Default |
|---|---|---|---|
| location | Yes | 逗号分隔的经纬度信息 (e.g., 116.40,39.90) | |
| days | No | 预报天数,now为实时天气,24h为24小时预报,72h为72小时预报,168h为168小时预报,3d为3天预报,以此类推 | now |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden for behavioral disclosure. It mentions geographic restriction (China) but doesn't cover other important traits: whether this is a read-only operation, potential rate limits, authentication needs, error handling, or what the output format looks like. For a tool with no annotations, this leaves significant gaps in understanding how it behaves.
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 purpose without unnecessary words. It's appropriately sized for a simple weather tool and front-loads the essential information. Every word earns its place.
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 no annotations and no output schema, the description is incomplete for a tool with 2 parameters. It doesn't explain what weather data is returned (e.g., temperature, precipitation), how results are structured, or any behavioral constraints. For a weather forecasting tool, users need to know what to expect beyond just 'forecast'.
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%, so the schema already documents both parameters thoroughly. The description adds no additional parameter information beyond what's in the schema. It doesn't explain parameter relationships, provide examples beyond the schema's enum descriptions, or clarify edge cases. Baseline 3 is appropriate when the schema does all the work.
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 tool's purpose: '获取中国国内的天气预报' (Get weather forecast for China). It specifies both the action (get weather forecast) and the geographic scope (China), though it doesn't distinguish from siblings since none exist. The description is specific but could be more precise about what type of weather data 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?
The description implies usage context (weather forecasting for China) but provides no explicit guidance on when to use this tool versus alternatives. With no sibling tools, there's no need to differentiate, but it doesn't mention prerequisites, limitations, or ideal use cases beyond the basic scope.
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.
1 tool update
- First observed
get-weather
TDQS
Scored across 1 tool
With only one tool, there is no possibility of confusion or overlap between tools. The tool's purpose is clearly defined as fetching weather forecasts for China, leaving no ambiguity for an agent to misselect.
Since there is only one tool, naming consistency is inherently perfect. The tool name 'get-weather' follows a clear verb-noun pattern, and there are no other tools to deviate from this pattern.
A single tool is too few for a weather server's apparent scope, which typically involves multiple operations like current conditions, forecasts, alerts, or location-based queries. This minimal set limits functionality and feels thin for the domain.
The tool surface is severely incomplete for a weather domain. It only provides forecasts for China, missing essential operations such as current weather, historical data, alerts, or support for other regions, which will likely cause agent failures in broader tasks.
Maintenance
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