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Snow Day Probability Api MCP Server

Snow Day Probability Api MCP Server

Snow Day Probability Api MCP Server

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Related MCP server: Weather & Climate Intelligence MCP

简介

这是一个使用 FastMCP 自动生成的 MCP 服务器,用于访问 Snow Day Probability Api API。

  • PyPI 包名: bach-snow_day_probability_api

  • 版本: 1.0.0

  • 传输协议: stdio

安装

从 PyPI 安装:

pip install bach-snow_day_probability_api

从源码安装:

pip install -e .

运行

方式 1: 使用 uvx(推荐,无需安装)

# 运行(uvx 会自动安装并运行)
uvx --from bach-snow_day_probability_api bach_snow_day_probability_api

# 或指定版本
uvx --from bach-snow_day_probability_api@latest bach_snow_day_probability_api

方式 2: 直接运行(开发模式)

python server.py

方式 3: 安装后作为命令运行

# 安装
pip install bach-snow_day_probability_api

# 运行(命令名使用下划线)
bach_snow_day_probability_api

配置

API 认证

此 API 需要认证。请设置环境变量:

export API_KEY="your_api_key_here"

环境变量

变量名

说明

必需

API_KEY

API 密钥

是

PORT

不适用

否

HOST

不适用

否

在 Claude Desktop 中使用

编辑 Claude Desktop 配置文件 claude_desktop_config.json:

{
  "mcpServers": {
    "snow_day_probability_api": {
      "command": "python",
      "args": ["E:\path\to\snow_day_probability_api\server.py"],
      "env": {
        "API_KEY": "your_api_key_here"
      }
    }
  }
}

注意: 请将 E:\path\to\snow_day_probability_api\server.py 替换为实际的服务器文件路径。

可用工具

此服务器提供以下工具:

snow_probability

Snow Day Probability predicts the likelihood of school closures due to snowfall and severe winter weather using real-time weather data and machine learning algorithms.

端点: GET /

参数:

  • zipcode (number) 必需: Example value: 59716

  • zipcode (string) 必需: Example value: 59716


技术栈

  • FastMCP: 快速、Pythonic 的 MCP 服务器框架

  • 传输协议: stdio

  • HTTP 客户端: httpx

开发

此服务器由 API-to-MCP 工具自动生成。

版本: 1.0.0

Available Tools

1 tool
snow_probabilitySnow ProbabilityB

Snow Day Probability predicts the likelihood of school closures due to snowfall and severe winter weather using real-time weather data and machine learning algorithms.

Inputs: zipcode (required).

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    B3.2/5.0

    Scored across 1 tool

    Disambiguation4/5

    With only one tool there is no risk of misselection between competing tools. However, there is nothing to distinguish against, so this is a trivially clean but uninformative case.

    Naming Consistency4/5

    The single tool name 'snow_probability' uses a readable snake_case noun pattern with no competing conventions. A pattern cannot really be assessed from one name, so it is only nominally consistent.

    Tool Count2/5

    A single tool is too thin for a service that implies location/date inputs and historical or forecasted variants. The rule of thumb treats one tool as an extreme under-scope, though the domain is genuinely narrow.

    Completeness2/5

    There is only a prediction operation with no visible parameters, no location lookup, no date/range handling, and no complementary queries. Agents will likely hit dead ends for anything beyond a bare prediction call.

    Maintenance

    ActivityInactive
    ResponsivenessNo recent community issues

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