No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by ezh0v · MCP Server · ★ 249
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is weather-mcp-server safe to install? View the security audit →
Weather API MCP Server Report Bug | Request Feature A lightweight Model Context Protocol (MCP) server that enables AI assistants like Claude to retrieve and interpret real-time weather data. Installing on Claude Desktop To use your MCP server with Claude Desktop, add it to your Claude configuration: Local mode json { "mcpServers"
| Stars | 249 |
| Forks | 20 |
| Language | Go |
| Category | MCP Server |
| License | MIT |
| Quality Score | 75.5187388503958/100 |
| Open Issues | 2 |
| Last Updated | 2026-03-01 |
| Created | 2025-04-07 |
| Platforms | claude-code, go, mcp |
| Est. Tokens | ~9k |
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weather-mcp-server is A lightweight Model Context Protocol (MCP) server that enables AI assistants like Claude to retrieve and interpret real-time weather data. Discuss on Hacker News:. It is categorized as a MCP Server with 249 GitHub stars.
weather-mcp-server is primarily written in Go. It covers topics such as go, golang, mcp.
You can find installation instructions and usage details in the weather-mcp-server GitHub repository at github.com/ezh0v/weather-mcp-server. The project has 249 stars and 20 forks, indicating an active community.
weather-mcp-server is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to weather-mcp-server on Agent Skills Hub include yokai, mcp-client-for-ollama, context-space. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: