如何安装 Meteomatics？

推荐在 Claude Code（远程）中安装：1. 确保已安装 Claude Code CLI（终端可运行 claude 命令） 2. 点击下方「复制配置」，在终端粘贴并执行 3. 执行成功后重启 Claude Code 客户端命令示例：claude mcp add --transport http io-smithery-meteomatics-meteomatics https://smithery.ai/servers/meteomatics/meteomatics

Meteomatics 适用于哪些场景？

Meteomatics 可用于需要该MCP Server能力的 AI Agent 工作流，建议结合官方文档与本页安装命令试用。

AgentHubMCP · Skill

Meteomatics MCP配置与使用教程 - AgentHub

Meteomatics MCP配置与使用教程

Q: 如何安装 Meteomatics？

推荐在 Claude Code（远程） 中安装：1. 确保已安装 Claude Code CLI（终端可运行 claude 命令） 2. 点击下方「复制配置」，在终端粘贴并执行 3. 执行成功后重启 Claude Code 客户端 命令示例：claude mcp add --transport http io-smithery-meteomatics-meteomatics https://smithery.ai/servers/meteomatics/meteomatics

MCP Serversmithery

io.smithery.meteomatics.meteomatics · vlatest

The Meteomatics MCP (Model Context Protocol) server allows AI agents to securely access Meteomatics weather data tools. MCP is an open standard that lets AI applications connect to external tools and data sources. With the Meteomatics MCP, agents can request weather data directly from the Meteomatics API through a secure /mcp endpoint. The MCP server manages authentication using OAuth (client registration, authorization code + PKCE, and refresh tokens). Once connected, the AI agent can access data, models, parameters, time ranges that are available to your Meteomatics API account.

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热度数据

使用量8.6k

产品介绍

remote

按平台快速复制

选择你的平台查看安装方式

打开项目根目录下的 .cursor/mcp.json（没有就新建）
点击「复制配置」粘贴进去；若已有其他 MCP，只合并 mcpServers 里的本条目
保存后按 Cmd+Shift+P（Windows：Ctrl+Shift+P）→ 输入 Reload Window 并执行

{
  "mcpServers": {
    "io-smithery-meteomatics-meteomatics": {
      "url": "https://smithery.ai/servers/meteomatics/meteomatics"
    }
  }
}

统一 Manifest

{
  "id": "io.smithery.meteomatics.meteomatics",
  "type": "mcp-server",
  "version": "latest",
  "displayName": "Meteomatics",
  "description": "The Meteomatics MCP (Model Context Protocol) server allows AI agents to securely access Meteomatics weather data tools. MCP is an open standard that lets AI applications connect to external tools and data sources. With the Meteomatics MCP, agents can request weather data directly from the Meteomatics API through a secure /mcp endpoint.\n\nThe MCP server manages authentication using OAuth (client registration, authorization code + PKCE, and refresh tokens). Once connected, the AI agent can access data, models, parameters, time ranges that are available to your Meteomatics API account. ",
  "iconUrl": "https://api.smithery.ai/servers/meteomatics/meteomatics/icon",
  "homepage": "https://www.meteomatics.com/en/api/data-connectors/#mcp",
  "distribution": {
    "packages": [],
    "remotes": [
      {
        "transport": "streamable-http",
        "url": "https://smithery.ai/servers/meteomatics/meteomatics"
      }
    ]
  },
  "dependencies": [],
  "installTargets": [
    "claude-code",
    "claude-desktop",
    "cursor",
    "vscode"
  ],
  "keywords": [
    "use_count:8587",
    "remote"
  ],
  "provenance": {
    "origin": "smithery",
    "originalId": "meteomatics/meteomatics",
    "originalUrl": "https://smithery.ai/servers/meteomatics/meteomatics",
    "isOfficial": false,
    "status": "active"
  }
}

Meteomatics MCP配置与使用教程

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统一 Manifest