"A tool for discovering GitHub projects based on trends or stars" matching MCP servers:

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.

Enables AI assistants and MCP clients to search Pyaterochka stores, browse categories, find products with filters for price, brand, and promotions, and retrieve product details, store hours, and promotion conditions through the exposed MCP tools.

An India-focused MCP server that provides real-time weather conditions, forecasts, air quality data, and location search capabilities using the OpenWeatherMap API.

Cloudflare Worker that deploys an MCP server providing a single tool to return a user's timezone based on their IP address.

Search for local businesses worldwide. Structured data optimized for AI agents. • Search Millions of businesses over 49 countries (Europe, Northamerica, Southamerica, Asia, Oceania) • Quality & demand scoring for every business • Ranking based on real user click-through data • No API key needed, free access • Rate limit: 500 requests/hour per IP

Provides read-only query tools over OpenStreetMap data in PostGIS, enabling natural language queries for features, categories, and spatial analysis.

A lightweight microservice that fetches weather alerts and forecasts from the National Weather Service API, providing U.S. state-level alerts and location-based forecasts.

Search for local businesses worldwide. Structured data optimized for AI agents. • Search Millions of businesses over 49 countries (Europe, Northamerica, Southamerica, Asia, Oceania) • Quality & demand scoring for every business • Ranking based on real user click-through data • No API key needed, free access • Rate limit: 500 requests/hour per IP

Provides Naver Map API functions (geocoding, reverse geocoding, directions, static map, and usage queries) as MCP tools for use in Claude Desktop, VS Code, and other MCP clients.

Provides altitude-azimuth coordinates for celestial objects including planets, over 117,000 stars, and 14,000 deep sky objects based on system time and configurable location.

Provides Estonian public transport timetables, trip planning, stop search, and real-time vehicle tracking.

Enables users to check weather conditions using Open-Meteo's free API with GitHub OAuth authentication and personalized location management. Users can save custom location labels (like 'home' or 'office') and query weather using these convenient shortcuts.

Enables a local Grok Bot to talk to the unofficial MySubaru API over stdio, supporting vehicle status, locate, tire pressure, fuel, odometer, climate presets, and explicit lock/unlock/remote start actions without exposing secrets.

Provides real-time access to Israeli emergency alerts from the official Pikud Haoref (Home Front Command) API. Enables AI assistants to check current alerts, retrieve alert history with intelligent city filtering, and monitor emergency notifications including rocket alerts, aerial intrusions, and earthquakes.

Provides Google Maps functionality through Cloud Run, enabling route calculation, traffic analysis, route comparison, and trip cost estimation with rate-limited public access.

Enables AI assistants to access real-time Transport for London data, including tube/bus arrivals, line status, journey planning, and disruptions.

Express-based API for Lviv transport timetable data with a read-only MCP endpoint.

An MCP server that exposes a verify_place tool for verifying places via Google Places API, along with a rubric resource and classify_post prompt for grounding-based classification tasks.

Enables on-demand weather queries for up to three named locations via Open-Meteo, supporting current conditions, forecasts, rain probability, and conversational location management in English or Japanese.

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.