"A tool for finding errors in the console or browser during frontend development" matching MCP servers:

A production-oriented MCP server exposing tools for weather, currency conversion, text statistics, and server introspection, with auto-discovery, rate limiting, and API key auth.

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

Fetches live weather data from Open-Meteo without an API key and returns structured JSON with location disambiguation, enabling weather queries in LM Studio chat.

Exposes the getWeather and getTime tools over a stateless streamable-HTTP MCP endpoint at /mcp, so clients can look up weather for a location and the current time for a timezone through MCP tool calls. Running the same pure tool code as the app's OpenAPI surface, it lets you register the deployment as a remote MCP tool and compare MCP against custom-OpenAPI integration.

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

A production-ready MCP server that provides real-time weather information, forecasts, air quality, and weather alerts through the OpenWeatherMap API. It integrates with Claude Desktop and other MCP-compatible clients for natural language weather queries.

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

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

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 Model Context Protocol tool that provides weather information for cities, with London access requiring Solana devnet payment via the Latinum Wallet MCP server.

Provides real-time weather data, forecasts, and historical weather information from OpenWeatherMap API for Claude Desktop, enabling natural language queries about current conditions, forecasts, air quality, and weather alerts worldwide.

Enables querying and comparing operational numerical weather models, including global and regional, deterministic and ensemble, physics-based and AI forecasts, with a unified API.

Provides real-world tools for weather data, stock market information, and internet search through the Model Context Protocol. Integrates with OpenWeatherMap, Stooq market data, and Google Custom Search APIs.

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

A minimal MCP server built with TypeScript exposing a single mocked weather tool over stdio transport.

Provides comprehensive utility tools including file operations, weather information, system monitoring, mathematical calculations, text search, and safe command execution. Enables users to perform various system and data operations through a unified MCP interface with built-in security features.

Enables users to manage persistent notes, retrieve current weather by location, and generate study paths with interactive completion checklists through exposed tools.

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.

Provides real-time air quality data (US AQI, PM2.5, PM10, ozone, NO2, SO2, CO) for any city via natural language, using free Open-Meteo data and a single tool.

Enables interactive access to JAXA's satellite observation data (precipitation, land surface temperature, NDVI, elevation, soil moisture) via Claude, providing tools for point time series, dataset information, and area image generation.

Provides an LLM with tools to retrieve US National Weather Service forecasts and active alerts, enabling natural-language answers about current conditions.

Enables AI assistants to access real-time weather data by city and manage HR operations including job applications, recruitment tracking, and interview scheduling through a unified, modular interface with live updates via SSE.

Provides access to NOAA National Weather Service forecasts and alerts. Enables finding weather observation stations in US states via the get_stations tool.

Enables agents to answer whether it's a good day to go up, hike, or take the cable car, and to rank the best day in the seven-day forecast using live weather, summit conditions, cable car status, and hours. It adds freshness warnings, out-of-forecast handling, clear errors, and an eval suite for validating agent tool use.

An MCP server that provides weather alerts and forecasts, system shutdown/restart, smart browser search, and screenshot capture.

Enables querying current weather conditions and 1–7 day forecasts by place name through natural language, using Open-Meteo without requiring an API key.

Enables AI agents to retrieve current weather conditions and 3-day forecasts for cities through standardized MCP tools over stdio.

Enables querying a local SQLite database and fetching live weather data through a single MCP server, allowing GPT-4o to perform cross-tool tasks like finding top customers and checking weather in their cities.

A simple MCP server that provides weather tools, deployable with Docker, and designed to be used with Claude Desktop via a WSL bridge.