tc-weather-mcp-server
tc-weather-mcp-server is an MCP server intended to provide weather-related capabilities (typically backed by an external weather provider) to AI agents via the Model Context Protocol.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Security posture cannot be fully assessed from the provided info. If it relies on external weather APIs, it should enforce HTTPS, keep API keys in environment variables, and avoid logging secrets; none of these are confirmed here.
⚡ Reliability
Best When
You need a lightweight MCP tool to fetch weather data inside an agent environment.
Avoid When
You require strict uptime/SLA, guaranteed response latency, or strong compliance/data residency guarantees that are not documented.
Use Cases
- • Let an AI assistant answer weather questions for a given location
- • Agent workflows that need current conditions or forecasts (e.g., planning outdoor activities)
- • Tool-using agents that need structured weather data in conversational flows
Not For
- • Use as a general-purpose weather data portal with complex querying unless explicitly supported
- • Mission-critical forecasting without validating source accuracy
- • High-compliance/regulated applications without confirmed vendor and data handling details
Interface
Authentication
No auth details were provided in the supplied information, so authentication requirements (if any) cannot be confirmed.
Pricing
No pricing information was provided in the supplied information.
Agent Metadata
Known Gotchas
- ⚠ Weather providers can rate-limit; agents should expect transient failures/429s and retry with backoff (not confirmed/documented).
- ⚠ Location inputs (city name vs coordinates) may be ambiguous; agents may need to pass lat/lon or disambiguate.
Alternatives
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Scores are editorial opinions as of 2026-04-04.