"A tool for searching local files" matching MCP servers:

A minimal MCP server using FastMCP to demonstrate tool creation, including a get_weather example.

A customizable Model Context Protocol server implementation that enables AI models to interact with external tools including weather queries, Google search, and camera control functionality.

A local testing MCP server that provides weather information for L'Hospitalet de Llobregat using the Open-Meteo API, accessible from mobile devices via SSE transport on local networks.

One-call Australian weather plumbing for current and historical data — cited responses for practical analysis, not a data broker.

A simple MCP server that exposes a get_weather tool to fetch real-time weather for any GPS coordinates using the Open-Meteo API, no API key required.

Provides real-time weather data by exposing a get_current_weather tool via MCP, using the Open-Meteo API over stdio JSON-RPC.

Provides current weather alerts for specified locations to AI assistants through the Model Context Protocol.

Enables retrieving current weather, hourly and daily forecasts, and geocoding for cities via Google Maps Weather API, with a local dashboard for India metro areas.

MCP server that provides current weather for any city using Open-Meteo APIs. It exposes a single tool 'get_weather' returning temperature, humidity, wind, and other weather data.

This MCP server demonstrates basic Model Context Protocol architecture by exposing a get_weather tool that returns fake weather data, communicating over stdio.

Enables querying hardcoded weather data for Delhi, Mumbai, and Bangalore through natural language, using a single stdio-transport tool that Claude can discover and call.

Provides real-time weather information for cities worldwide using the OpenWeatherMap API, accessible through natural language queries via the MCP protocol.

Enables to query real-time weather information for any city worldwide by automatically geocoding city names and retrieving temperature, precipitation, and other data via Open-Meteo APIs, seamlessly integrated with Claude Desktop.

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 simple MCP server that provides a tool to fetch current weather information for cities using the Open-Meteo API, communicating through stdin/stdout.

Enables AI agents to fetch real-time weather data for any location using the OpenWeatherMap API. Demonstrates how to build a simple MCP server that exposes weather information as a tool for LLMs.

A minimal Python MCP server that provides surf forecasts for a single Surfline spot. It fetches both conditions and rating data through the get_surf_forecast tool.

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 simple educational MCP server implemented in Node.js that allows users to fetch weather information for cities using the Open-Meteo API.

A MCP server that provides real-time weather information for any city through a simple tool that resolves geographic coordinates and fetches current weather data.