weatherapi-mcp-server
Provides an MCP (Model Context Protocol) server that exposes WeatherAPI functionality to AI agents, enabling tools/actions to fetch weather data.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Because only the package name/intent is provided here (no concrete implementation details), TLS/auth/secret handling are estimated. Typically, an MCP server should enforce HTTPS for upstream calls and keep API keys out of logs; verify the repo for logging practices, environment variable handling, and any proxying behavior.
⚡ Reliability
Best When
You want tool-style weather retrieval inside an agent via MCP, and you have (or can configure) the needed WeatherAPI credentials.
Avoid When
You cannot supply WeatherAPI credentials securely, or you need guaranteed uptime/SLA and formal reliability metrics from the MCP wrapper itself.
Use Cases
- • Agent-driven weather lookups (current conditions, forecasts)
- • Automating travel/weather-aware assistants
- • Programmatic weather enrichment for chatbots and workflows
- • Testing agent tool-use with an MCP weather tool
Not For
- • Use as a standalone weather UI/service
- • Use where strong enterprise security/compliance guarantees are required without additional review
- • Use cases needing non-weather domains (e.g., maps, routing, commerce) beyond what WeatherAPI offers
Interface
Authentication
The MCP wrapper likely requires a WeatherAPI API key, but no explicit auth mechanism details were provided here.
Pricing
Pricing for the wrapper MCP server is not provided; WeatherAPI pricing would apply for requests.
Agent Metadata
Known Gotchas
- ⚠ Agents may repeatedly call the weather tool for the same parameters; without caching/throttling this can increase cost/trigger rate limits.
- ⚠ If the tool expects specific parameter formats (e.g., lat/long vs city names), agents may send ambiguous inputs and receive errors.
- ⚠ WeatherAPI results can vary by location/timezone; agents may need to pass the correct timezone/context to avoid surprises.
Alternatives
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Scores are editorial opinions as of 2026-04-04.