WeatherAPI▌
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.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
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
- Go to WeatherAPI.com
- Sign up for a free account
- After signing in, go to your dashboard
- 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
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.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 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
4.4★★★★★36 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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