"JSON Web Tokens" matching MCP servers:

Provides six general-purpose utilities (geocoding, reverse geocoding, weather, web search, URL-to-Markdown, secure random) as paid MCP tools, with each call costing $0.01 USDC on Base mainnet.

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

A weather query MCP server providing current weather, forecasts, temperature conversion, and travel weather advice using wttr.in without API tokens.

Enables AI agents to access paid tools like crypto prices, weather, translation, and web intelligence via per-request USDC payments on Base, with no API keys or subscriptions.

An MCP server that provides weather forecast tools for Israel (via Playwright web scraping) and the USA (via NWS API), enabling LLM agents to answer weather queries in natural language.

Enables natural language weather queries for Israel and the USA, fetching real-time forecasts and alerts via web scraping and official APIs.

Provides a suite of utility tools for daily operations, including file format conversion, web page monitoring with change detection, Telegram polls, trading signals from Binance, weather alerts, and more. It includes retry/backoff handling, state persistence, and observability features.

A Node.js and TypeScript server project that provides a simple starter example with Express.js web server, supporting hot-reload, testing, and modular structure.

An MCP server that provides web search capabilities through the Tavily API and weather data retrieval tools. It demonstrates how to integrate external APIs into AI applications and build agentic workflows with LangGraph.

Demonstrates how to integrate Model Context Protocol with Server-Sent Events (SSE) in a FastAPI web application, including a weather service example with tools for getting forecasts and alerts.

Enables agents to fetch global current conditions, air quality (PM2.5, PM10, O₃, NO₂, SO₂, CO, US/EU AQI), UV index, wind, sunrise/sunset and 1–16 day forecasts with optional hourly rows via Open-Meteo, no API key needed. Returns a localized human-readable summary plus complete JSON, resolving locations by city name, coordinates, or public IP over stdio MCP.

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.

Enables web search, browser control, weather queries, file clipboard operations, and memory search through MCP.

Provides real-time weather data from Open-Meteo API and enables creating and retrieving notes stored locally in JSON format.

A comprehensive MCP server collection designed for Cursor that provides system information queries, personal profile management, web search capabilities, and weather forecasting. Enables users to access hardware details, manage resume data, search the web, and get weather updates through natural language interactions.

Enables agents to query live NOAA/USGS space-weather and earthquake feeds, compute deterministic storm-risk assessments with hash-chained integrity seals, and verify data authenticity via JSON-RPC tools.

Enables AI assistants to look up official Austrian municipal data by place name, GKZ or coordinates, returning weather forecasts and nowcasts from GeoSphere Austria alongside nearby and current water-level readings from eHYD. Answers come as compact JSON with source attribution, timestamps, licenses and units, plus tools for searching municipalities and checking flood situations by province.

Enables AI models to access external services including weather data, file system operations, and SQLite database interactions through a standardized JSON-RPC interface. Features production-ready architecture with security, rate limiting, and comprehensive error handling.

Enables users to get current weather information for any city through a simple JSON-RPC interface. Integrates with OpenWeatherMap API to provide real-time weather data including temperature, conditions, and other meteorological information.

Enables agents to validate climate processing configs, inspect available sample data, and run a climate data pipeline that aggregates mock daily weather into monthly summaries and plots. Returns validation results and rendered plot output through inline JSON configs.