"Current Weather Information" matching MCP servers:

Provides weather information through MCP tools integrated with a FastAPI backend, enabling users to query current weather for single or multiple cities and check API health status.

A learning-focused MCP server that provides tools for current time, arithmetic, random quotes, mock weather, and UUID generation, demonstrating the Model Context Protocol end-to-end.

Provides AI agents with environmental sensing capabilities including current time, IP-based geolocation, system information, and hardware details. Enables more contextual and accurate AI responses based on user's environment.

Provides current local time and time in any IANA timezone, along with timezone listing and NTP-based time retrieval with clock offset information.

A simple MCP server that returns the current date and time with timezone information in ISO 8601, Unix timestamp, and human-readable formats.

Provides comprehensive system diagnostics and hardware analysis through 10 specialized tools for troubleshooting and environment monitoring. Offers targeted information gathering for CPU, memory, network, storage, processes, and security analysis across Windows, macOS, and Linux platforms.

A simple MCP server demonstrating tools, resources, and prompts for weather data, built during an Agentic AI Internship.

Provides LLMs with current date and time information across any timezone, with configurable defaults and support for IANA timezone identifiers.

Provides timezone-aware date and time information with configurable time formats and timezone support. Enables users to get current date and time in their preferred timezone and format through simple MCP tools.

Provides tools for date-time manipulation, including timezone conversion and arithmetic operations like adding or subtracting time units. It also enables users to retrieve current date, time, and timezone information.

A step-by-step workshop for building an MCP server that provides weather tools to AI agents, enabling secure API key usage.

Provides AI assistants with real-time date, time, and timezone information, enabling them to access current temporal data, format dates, calculate day of week, and work with different timezones.

Demonstrates creating and connecting an MCP weather server using FastMCP, with support for integration with Claude Desktop, Cursor, and local LLMs to query weather alerts and information.

A simple MCP server that provides accurate date and time information to Claude models, ensuring they always use the correct current date and time when creating time-sensitive content.

A Model Context Protocol server that provides time and timezone conversion capabilities, enabling LLMs to get current time information and perform timezone conversions using IANA timezone names.

Provides time and timezone functionality for LLMs, enabling them to get current time information across different timezones and convert times between zones.

A basic MCP server adapted from the official quickstart guide that provides weather data functionality and works with OpenAI chat completions API. Demonstrates MCP server setup with configuration examples for Claude Desktop and development tools.

A learning project demonstrating how to build MCP servers with Python, featuring weather query tools that showcase custom tool creation, configuration, and integration with AI assistants.

A basic MCP server template that can be integrated with Cursor to enable AI tools like weather information retrieval using Claude-3.7-sonnet model.

A simple service using Model Context Protocol (MCP) to provide weather information for multiple cities including Fukuoka, Tokyo, Osaka, Moscow, and New York.