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⛅
⛅ Weatherstack MCP Server

⛅ Weatherstack MCP Server

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github.com/MCP-ForgeMaps & Travel1Updated 75w ago
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About ⛅ Weatherstack MCP Server

Weatherstack MCP Server connects AI agents to Weatherstack weather data through natural-language requests. It exposes current, historical, forecast, and marine information as MCP tools.

Key features

  1. 01Current weather by location
  2. 02Historical weather by date and hour
  3. 03Multi-day forecasts
  4. 04Marine weather and tide information

Use cases

  1. 01Check current conditions for a location
  2. 02Review weather on a past date
  3. 03Retrieve a multi-day forecast
  4. 04Consult marine or tide information

MCP support

An MCP server that exposes Weatherstack API capabilities as tools for MCP clients, including current, historical, forecast, and marine weather data.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "weatherstack": {
      "command": "uvx",
      "args": [
        "weatherstack-mcp-server"
      ]
    }
  }
}
Run commanduvx weatherstack-mcp-server

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
pypiweatherstack-mcp-server

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

⛅ Weatherstack MCP Server

This is an MCP (Model Context Protocol) server for integrating with the Weatherstack API, enabling AI agents to access real-time, historical, forecast, and marine weather data using natural language input.

The goal of this project is to expose Weatherstack's functionality through MCP-compatible tools that can be used seamlessly by large language models and agent frameworks.

Subscribe to Weatherstack

You can subscribe to Weatherstack via http://weatherstack.com?utm_source=FirstPromoter&utm_medium=Affiliate&fpr=damyan48.

🧠 What is MCP?

MCP (Model Context Protocol) is a lightweight protocol designed to let AI agents interact with external tools and APIs in a structured and modular way. Think of it like USB for AI — this server acts as a "driver" for the Weatherstack platform.

With this MCP server, AI models can:

  • 🌤️ Get current weather conditions for any location
  • 🕰️ Access historical weather data by date and hour
  • 📅 Retrieve multi-day weather forecasts
  • 🌊 Get marine/sailing weather and tide information

🚀 How to Run

To use this MCP server, you'll need:

✅ Prerequisites

  • Python 3.11+
  • uv – a modern Python package manager
  • A supported LLM (e.g., Claude)
  • A Weatherstack API key – get it at weatherstack.com

Add this to Claude Desktop config

{
  "mcpServers": {
    "weatherstack-mcp": {
      "command": "uvx",
      "args": [
        "weatherstack-mcp-server",
        "--api-key",
        "YOUR WEATHERSTACK API KEY"
      ]
    }
  }
}

🤝 Contributions Welcome!

Whether you're passionate about weather tech, AI agent development, or robust API integrations — we’d love your help improving this project. You can contribute by:

  • Adding support for additional Weatherstack endpoints
  • Improving the structure of tool responses
  • Writing better tests and usage examples
  • Sharing feedback or ideas via Issues or Discussions

Feel free to fork, explore, and open a PR. Let’s empower agents with better environmental awareness — one forecast at a time. 🌍🛰️

MCP-FORGE – Building tools for the future of intelligent automation.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.