Find an existing MCP server to extend your AI assistant with a new capability without building from scratch.
Browse the MCP ecosystem to see what kinds of integrations and tools are already available.
Discover servers for connecting AI to databases, cloud platforms, file systems, or APIs you use.
This repository is a curated list, an "awesome list", of Model Context Protocol servers. The Model Context Protocol, abbreviated MCP, is described as an open protocol that lets AI models securely interact with local and remote resources through standardized server implementations. In plainer terms: MCP is a way to plug an AI assistant into outside tools and data, like files on your computer, a database, an API, or a web service. An MCP server is the small program that exposes one of those resources to the AI in a standard way. This repository collects many such servers in one place so you can find one that fits your needs. The list is organized by category, for example, browser automation, cloud platforms, databases, file systems, finance, gaming, knowledge and memory, security, social media, version control, and many more. Each entry links to the server's repository and is annotated with small icons indicating the codebase language, whether it is a cloud service, local service, or embedded system, and which operating systems it supports. There is also a separate web directory that mirrors the list, plus sections for tutorials, frameworks, and tips. You would visit this repository when you want to extend an AI assistant with a new capability and you are looking for an existing server rather than building one yourself, or when you want to browse what kinds of integrations the MCP ecosystem already covers. The README is translated into several languages and links to a Discord server, a subreddit, and a separate awesome-mcp-clients list. The full README is much longer than what was provided, only a fraction is shown.
Generated 2026-05-18 · Model: sonnet-4-6 · Verify against the repo before relying on details.