"GPT-SoVITS MCP (Model Context Protocol) Integration" matching MCP servers:

MCP server enabling real-time weather queries via Tavily API and internet usage data by country via MongoDB.

Integration platform for aviation data sources including weather, NOTAMs, airport information, and flight planning APIs, enabling comprehensive pre-flight preparation and in-flight decision support.

Integrates the US National Weather Service API with Claude Desktop to provide real-time weather conditions, forecasts, and detailed weather metrics for any US location through natural language queries.

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.

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

Integrates the US National Weather Service API with Claude Desktop, enabling users to query current conditions and forecasts using natural language.

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.

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.

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

A demonstration project for Model Context Protocol (MCP) that integrates weather services with multiple AI models (Claude, GPT, Gemini), enabling natural language queries for weather alerts and forecasts.

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 US weather data for AI assistants via MCP, including current conditions, forecasts, alerts, severe weather outlooks, radar, upper-air analysis, and surface analysis. Supports optional personal weather station integration.

A Model Context Protocol server for space weather and geomagnetic conditions, enabling AI agents to answer queries about solar flares, solar wind, geomagnetic storms, aurora forecasts, and more from authoritative data.

This is an MCP (Model Context Protocol) server that provides tools for interacting with the NOAA Tides and Currents API.

Model Context Protocol server: plug AEMET into Claude Desktop, Cursor, Windsurf or any MCP client. Runs locally over stdio.

A Model Context Protocol server that provides real astronomical data (planetary positions, lunar phases, space weather) with astrological interpretations to help users make decisions about deployments, incident analysis, and scheduling.

Lightweight MCP server that exposes tools for system information and weather lookup, designed for agent integration via stdio.

Model Context Protocol server for real-time US climate risk and home insurance metrics.

The official Model Context Protocol server for Ambee. It gives any MCP-compatible AI assistant — Claude, ChatGPT, Cursor, VS Code, Ollama, and more direct access to live air quality, pollen, and weather data.

Provides AI clients with real-time tools for math evaluation, timezone-aware time lookup, live weather retrieval, and persistent note management, all accessible over the Model Context Protocol via stdio.