"A server for finding weather and meteorological information" matching MCP servers:

A Model Context Protocol compatible server that provides weather information for any city using Ollama's LLM capabilities through an exposed get-weather tool.

A standardized API server that enables AI agents and client applications to fetch current weather information for any location without directly interacting with external weather APIs.

Enables building and evaluating LangGraph agents over a protocol-level MCP server to measure failure rates across four agent topologies.

A free Model Context Protocol server that retrieves global weather data and forecasts via the Open-Meteo API, with Sydney set as the default location.

Provides comprehensive weather information including current conditions, 7-day forecasts, and air quality data for any city worldwide using the Open-Meteo API. Features real-time weather data, hourly forecasts, sunrise/sunset times, and European Air Quality Index with human-readable descriptions.

A simple server that implements the Model Context Protocol, allowing AI models like Claude to fetch real-time weather information for any location using the wttr.in API.

A Model Context Protocol server that provides AI agents with tools to retrieve weather alerts and detailed forecasts for US locations using the National Weather Service API.

Enables AI coding agents to request a second opinion from a different frontier model via a single tool call, with PII scrubbed before transit, live web search, and support for Claude, ChatGPT, Cursor, and Gemini.

Enables AI agents to control a Playwright-driven browser through natural-language instructions, including page interaction and live browser task execution.

Enables AI agents to request an independent second opinion from a different frontier model, with PII scrubbing before transit, live web search grounding, caching, and multi-provider failover.

An intermediate agent server that enhances LLMs with weather data capabilities using the Model Context Protocol (MCP) framework, enabling retrieval of real-time weather information.

Enables ZCode to control a real Chrome browser, including tabs, navigation, page content, clicks, form filling, keyboard input, scrolling, screenshots, and JavaScript evaluation through a local MCP bridge.

Enables OpenAI-compatible clients to access external tools, APIs, repositories, and data sources through MCP with allowlisting, approval, and argument validation, deployable as a FastAPI service or Python library.

A Model Context Protocol server that provides real-time weather information and 5-day forecasts to AI assistants, supporting multiple languages and flexible units.

Enables AI agents to drive real Google Chrome with stealth and captcha handling, using Patchright to avoid bot detection.

Production-ready MCP server providing RAG, hierarchical memory, and 8+ tools for AI agents via the Model Context Protocol.

Enables ChatGPT to delegate writing, analysis, second opinions, and Japanese text polishing to Gemini through a single ask_gemini tool, without copying text to Gemini's web interface. Self-hosted on Cloudflare with your own Gemini API key and Google login.

A Model Context Protocol server implementation that allows AI models to interact with and manage Spinnaker deployments, pipelines, and applications through a standardized interface.

Exposes Coze workflows as MCP tools, allowing AI clients to discover and execute workflows from a specified Coze workspace. It provides a simple way to integrate external skills into platforms like OpenClaw without needing local environment configurations.

An MCP Server that provides weather information by ZIP code using Interzoid's API, allowing agents to retrieve current weather conditions based on postal codes.