This weather MCP implementation, built with Python, provides a simple interface for retrieving weather data. It leverages the httpx library for efficient HTTP requests and integrates with the MCP CLI for easy command-line usage. The project structure includes test files and development requirements, indicating a focus on code quality and maintainability. While the specific weather API is not evident, the implementation offers a straightforward approach to accessing weather information, making it suitable for AI assistants, chatbots, or applications needing to incorporate weather data into their workflows.
Cognium trust score
50%
Tier
Unverified
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
Returns 7 tools: search_skills, get_skill, list_leaderboard, get_trust_breakdown, resolve_composition, plus the ChatGPT-connector search and fetch. Every tool is annotated read-only.
Resolve this skill directly via MCP tools/call get_skill.