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Enables AI agents to fetch current, forecast, and historical weather data.
The available material is sparse, but the tool appears to be listed in an official registry, open-source, and recently maintained, which lowers overall risk. As an MCP tool it warrants normal caution for local execution, but no key requirement, declared remote endpoint, or clear overreach/data-exfiltration red flags are evident.
The material explicitly states that no keys or environment variables are required. No API key, token, or account credential requirement is shown, so credential exposure and abuse risk appears low.
The known material lists remote endpoint host as 'none', and the README does not disclose outbound destinations; based on the available facts, no explicit data egress design is shown. However, weather-query functionality may typically involve networking, and the missing documentation leaves implementation details unconfirmed.
System checks indicate that the tool executes code. As an MCP tool, this implies local process startup/program execution, which is a normal capability for this class of tool. The material does not show requests for unusual system privileges or high-risk actions unrelated to weather functionality.
The description only covers weather lookup, forecast, and historical data. It does not declare local file read/write, sensitive directory access, databases, or other user resources; no signs of excessive data access are evident in the provided material.
The source is an official registry entry, open-source, and updated within the last year, all of which are positive risk-reducing signals. However, the repository has 0 stars, no declared license, and no README, so community validation and usage constraints are weak; review the source and dependency list before installation.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.CSOAI-ORG/weather-ai-mcp" MCP server from askskill: Run: claude mcp add 'io-github-csoai-org-weather-ai-mcp' -- npx -y weather-ai-mcp
Get the current weather in Shanghai, including temperature, feels-like temperature, humidity, wind speed, and conditions, then briefly summarize whether it is suitable to go outside.
Returns key current weather metrics for Shanghai plus a short recommendation about going outside.
Provide a 7-day weather forecast for Beijing, listing high temperature, low temperature, precipitation chance, and overall conditions by date, and highlight which days are best for travel.
Outputs a day-by-day 7-day forecast and marks the dates more suitable for travel.
Fetch historical weather data for Guangzhou from last month, summarizing daily temperature ranges, rainfall, and major weather conditions, then provide an overall trend summary.
Returns a daily historical weather summary for last month with an overall trend analysis.
Provides current weather and forecasts for AI-powered, context-aware applications.
Retrieve live weather updates for any city through an MCP-compatible tool.
Query current weather, forecasts, and related climate data in natural language.
Get weather information for places with AI-powered lookup and planning support.
Chat with an AI agent, get weather data, and monitor agent status via MCP.
Query live city weather with get_weather, no API key needed.