analytics-data

WeatherAPI

swonixs

by swonixs

Access current weather and air quality with WeatherAPI. Get temperature, humidity, wind speed, and more. Your fast, reli

Provides current weather and air quality data for any city through WeatherAPI.com, requiring only an API key for temperature, humidity, wind speed, and optional air quality metrics.

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Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

Free API key availableIncludes air quality data

best for

  • / Weather-aware applications and automations
  • / Environmental monitoring dashboards
  • / Travel and outdoor activity planning
  • / Air quality health assessments

capabilities

  • / Get current weather for any city
  • / Retrieve air quality measurements
  • / Access temperature and humidity data
  • / Check wind speed and conditions
  • / Query pollution indices (PM2.5, PM10, CO, NO2, O3)

what it does

Fetches current weather conditions and air quality data for any city using WeatherAPI.com. Requires a free API key to get temperature, humidity, wind speed, and pollution metrics.

about

WeatherAPI is a community-built MCP server published by swonixs that provides AI assistants with tools and capabilities via the Model Context Protocol. Access current weather and air quality with WeatherAPI. Get temperature, humidity, wind speed, and more. Your fast, reli It is categorized under analytics data.

how to install

You can install WeatherAPI in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

WeatherAPI is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme

WeatherAPI MCP Server

An MCP server that provides current weather and air quality data using WeatherAPI.

Features

  • Get current weather data for any city
  • Air quality information (optional)
  • Dynamic URI support for weather resources
  • Easy integration with n8n, Claude Desktop App, Windsurf IDE,Cursor IDE, and other MCP clients

Getting Started

Get WeatherAPI Key

  1. Go to WeatherAPI.com
  2. Sign up for a free account
  3. After signing in, go to your dashboard
  4. Copy your API key from the "API Keys" section

MCP Configuration

Add the following configuration to your Windsurf MCP config file:

{
  "mcpServers": {
    "weather": {
      "command": "npx",
      "args": ["-y", "@swonixs/weatherapi-mcp"],
      "env": {
        "WEATHER_API_KEY": "YOUR_API_KEY_HERE"
      }
    }
  }
}

Replace YOUR_API_KEY_HERE with the API key you obtained from WeatherAPI.com.

Tools

get_weather

Get current weather data for a specified city.

Parameters:

  • location (string): City name

Example response:

{
  "location": "London",
  "country": "United Kingdom",
  "temp_c": 15.0,
  "condition": "Partly cloudy",
  "humidity": 71,
  "wind_kph": 14.4,
  "air_quality": {
    "co": 230.3,
    "no2": 13.5,
    "o3": 52.9,
    "pm2_5": 8.5,
    "pm10": 12.1,
    "us-epa-index": 1
  }
}

Repository

WeatherAPI MCP Server

License

MIT

FAQ

What is the WeatherAPI MCP server?
WeatherAPI is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for WeatherAPI?
This profile displays 36 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.4 out of 5—verify behavior in your own environment before production use.

Use Cases

Extended AI Capabilities

Add new capabilities to Claude beyond text generation

Example

Access external data sources, execute code, interact with tools and services

Transform Claude from chatbot to action-taking agent

Context Enhancement

Provide Claude with access to relevant context and data

Example

Load project documentation, access knowledge bases, query databases

Get more accurate, context-aware responses

Workflow Automation

Automate multi-step workflows combining AI and external tools

Example

Research → Summarize → Create document → Send notification

Complete complex tasks end-to-end without manual steps

Implementation Guide

Prerequisites

  • Claude Desktop 0.7.0+ or Cursor IDE with MCP support
  • Basic understanding of MCP architecture and capabilities
  • Access credentials for integrated services (if required)
  • Willingness to experiment and iterate on configuration

Time Estimate

15-60 minutes depending on server complexity

Installation Steps

  1. 1.Install MCP server: npm install -g [package-name] or via GitHub
  2. 2.Add server configuration to ~/.claude/mcp.json
  3. 3.Provide required credentials and configuration
  4. 4.Restart Claude Desktop to load new server
  5. 5.Test basic functionality with simple prompts
  6. 6.Explore capabilities and experiment with use cases
  7. 7.Document successful patterns for reuse

Troubleshooting

  • MCP server not loading: Check config syntax, verify installation
  • Connection errors: Check network, firewall, credentials
  • Feature not working: Read server docs, check required parameters
  • Performance issues: Monitor resource usage, check for network latency
  • Conflicts with other servers: Check port assignments, namespace collisions

Best Practices

✓ Do

  • +Read server documentation thoroughly before setup
  • +Start with simple use cases to validate functionality
  • +Test in non-production environment first
  • +Monitor resource usage and performance
  • +Keep servers updated for bug fixes and new features
  • +Document configuration for team members
  • +Use environment variables for sensitive configuration

✗ Don't

  • Don't grant overly permissive access to MCP servers
  • Don't skip reading security considerations in docs
  • Don't expose sensitive data without proper controls
  • Don't run untrusted MCP servers without code review
  • Don't ignore error messages—investigate root cause

💡 Pro Tips

  • Combine multiple MCP servers for powerful workflows
  • Create custom MCP servers for your specific needs
  • Share successful configurations with team
  • Use MCP inspector for debugging
  • Join MCP community for tips and troubleshooting

Technical Details

Architecture

Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.

Protocols

  • Model Context Protocol (MCP)
  • JSON-RPC 2.0
  • stdio or HTTP transport

Compatibility

  • Claude Desktop
  • Cursor IDE
  • Custom MCP clients

When to Use This

✓ Use When

Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.

✗ Avoid When

Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.

Integration

  • Tool composition: Chain multiple MCP tools in workflows
  • Context augmentation: Provide AI with relevant external data
  • Action delegation: Let AI execute tasks on external systems
  • Bidirectional sync: Keep AI context and external systems in sync

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.436 reviews
  • Xiao Jackson· Dec 24, 2024

    WeatherAPI is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Shikha Mishra· Dec 20, 2024

    WeatherAPI is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Amelia Tandon· Dec 12, 2024

    We evaluated WeatherAPI against two servers with overlapping tools; this profile had the clearer scope statement.

  • Tariq Sethi· Dec 4, 2024

    Useful MCP listing: WeatherAPI is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Anaya Gill· Nov 23, 2024

    WeatherAPI reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Tariq Reddy· Nov 15, 2024

    I recommend WeatherAPI for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Yash Thakker· Nov 11, 2024

    Strong directory entry: WeatherAPI surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Sakshi Patil· Nov 3, 2024

    We evaluated WeatherAPI against two servers with overlapping tools; this profile had the clearer scope statement.

  • Chaitanya Patil· Oct 22, 2024

    We wired WeatherAPI into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • William Ghosh· Oct 14, 2024

    WeatherAPI is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

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