MCP Servers
63,654 MCP servers for AI apps. Filter by category, badge and popularity.
Media & Design
MCP server using TypeScript and JavaScript made with official MCP docs handling US Weather data having context for two tools — showing weather forecast and weather alerts for US based location. Used Zod for data validation and architectured two folders — src and build, development
img2.ai is a comprehensive creative platform that combines image-to-image and image-to-video AI workflows into one intuitive interface. Users can generate stylized art, animate static photos into smooth video clips, and upscale image quality
OpenVan MCP server exposes OpenVan.camp public APIs over the Model Context Protocol: fuel prices across 125+ countries, VanSky weather suitability scores (0–100), VanBasket food price index, currency exchange rates, vanlife events (expos, festivals, meetups), and aggregated news
The Dacast MCP (Model Context Protocol) Server integrates Dacast's comprehensive video streaming and hosting platform with your AI-powered applications. Once configured, you can upload and manage video content, control live streams, review analytics, and access nearly all of Daca.
Example project demonstrating how to deploy MCP servers using Azure Container Apps with a weather data processing use case. This repo showcases best practices for containerizing, configuring, and deploying scalable MCP servers on Azure for real-time data ingestion and analysis
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.
