"Information about CoinGecko API or Node Integration" matching MCP servers:

An MCP server that offers arithmetic operations (addition and division) and current weather data from OpenWeatherMap. It serves as a learning project for building MCP servers with Node.js and TypeScript, supporting both stdio and Streamable HTTP transports.

Provides current weather information for any location and generates AI-powered responses using Google Gemini through FastMCP.

Enables querying live weather, retrieving programming jokes, accessing GitHub user profiles and repository searches, and making custom HTTP requests to any API endpoint.

Provides current weather conditions and 7-day forecasts for any location worldwide, covering temperature, humidity, wind, and precipitation, with pay-per-call micropayments via x402.

Provides weather forecasts and alerts for US locations via the National Weather Service API, enabling AI assistants to deliver real-time weather information.

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.

FastAPI server with Google Gemini AI integration that provides auto-routing to multiple tools including weather, news, web search, dictionary, and quotes APIs through natural language prompts.

A FastMCP server providing real-time weather, news retrieval, and local note management tools for autonomous CrewAI agents. It enables context-aware multi-agent workflows with observability and high-speed inference integration.

An MCP server that provides real-time weather alerts, forecasts, stock market data, and news information through various API integrations.

A modular MCP server that connects to external APIs, providing tools for weather data, user management, and company operations. Features a scalable architecture with TypeScript support, HTTP client abstraction, and robust error handling.

A minimal Express-based MCP server that exposes a weather tool through HTTP endpoints, demonstrating how to implement the Model Context Protocol with streamable HTTP transport.

OAuth-protected FastMCP server exposing eight read-only public APIs (currency, weather, art, pets, dictionary, random images, vehicles) via MCP tools, with optional Gemini LLM-based routing for query selection.

An MCP server that provides access to the Interzoid GetWeatherCity API, allowing users to retrieve weather information for specified cities through natural language interactions.

A Model Context Protocol (MCP) Server that provides unified access to multiple external APIs (weather, news, financial data) through a single, consistent interface for AI agents and LLMs.

Single-file HTTP MCP Server for WeatherAPI.com to get current weather, forecasts, and location data. Supports bearer token authentication and exposes MCP tools for weather data retrieval.

Provides tools to check weather information for any city and manage prospects in Upnify CRM with dynamic authentication, eliminating the need for pre-configured credentials.

Provides current weather data, multi-day forecasts, hourly forecasts, and city lookup functionality using the QWeather API. Supports customizable units, languages, and multiple location formats including coordinates and city IDs.

Enables automatic weather information retrieval through a custom MCP server integrated with OpenAI using Cloudflare tunnels. Demonstrates seamless function calling between OpenAI and custom MCP tools without manual intervention.

Provides access to weather information by location using the API Ninjas Weather API, supporting queries by coordinates, zip code, city, state, and country.

Provides weather information tools including alerts for US states and forecasts by coordinates using the National Weather Service API. Uses streamable HTTP transport for scalable, multi-session connections.