{"id":"gbrigandi-mcp-server-openmeteo","name":"mcp-server-openmeteo","af_score":61.8,"security_score":43.8,"reliability_score":33.8,"what_it_does":"Provides an MCP server that exposes OpenMeteo weather capabilities as MCP tools: current weather, multi-day forecasts, historical daily weather, and global location search (geocoding) by delegating to OpenMeteo’s free public API.","best_when":"You want an easy-to-run local MCP server to enrich AI responses with weather and location data using OpenMeteo (no API key).","avoid_when":"You need documented MCP server transport details, authentication/authorization, or strong guarantees about error semantics, rate limits, and uptime.","last_evaluated":"2026-04-04T21:22:56.292192+00:00","has_mcp":true,"has_api":false,"auth_methods":["None (no API key required for OpenMeteo per README)","Local MCP server usage; no MCP-level auth described in README"],"has_free_tier":true,"known_gotchas":["No explicit MCP server deployment/transport details (e.g., whether it listens on a port, how errors are returned) in provided README","Rate limit behavior and headers from OpenMeteo are not documented here","Historical/forecast responses may be large; agents may need to summarize rather than fully ingest raw data","Tool parameter constraints are mentioned (e.g., days 1-16, coordinate ranges) but there’s no documented error-code mapping for invalid inputs"],"error_quality":0.0}