qweather-mcp-server
Provides an MCP server that exposes QWeather (weather) data to AI agents via MCP tools, enabling agent-driven weather lookups (e.g., forecasts/current conditions) without the agent directly calling external APIs.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Upstream weather APIs typically require an API key; however, how secrets are stored/handled and whether TLS is enforced are not evidenced in the provided content. No scope/authorization model is visible from the prompt, so least-privilege granularity cannot be confirmed.
⚡ Reliability
Use Cases
- • Agent-based weather querying for user assistance
- • Augmenting chatbots with real-time or forecast weather context
- • Automated planning/decision support using weather conditions (e.g., travel suggestions)
Not For
- • Use as a primary weather data platform without verifying data licensing/accuracy
- • Use where strong enterprise security/compliance controls and audited uptime are required (not evidenced from provided info)
- • High-throughput workloads where strict rate-limit and retry semantics are mandatory (not documented in provided info)
Interface
Authentication
Authentication details are not present in the provided prompt content; scores reflect uncertainty.
Pricing
Pricing of the MCP package is not provided. QWeather usage may incur costs depending on the upstream plan, but this is not evidenced here.
Agent Metadata
Known Gotchas
- ⚠ Weather queries may be sensitive to location resolution/formatting (e.g., city names vs coordinates); agents may need guidance on correct input formats
- ⚠ Upstream API quotas may cause failures if the MCP server does not provide clear rate-limit guidance
- ⚠ If the MCP server returns partial/translated errors from upstream, agents may not be able to recover automatically without explicit error codes
Alternatives
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Scores are editorial opinions as of 2026-04-04.