MCP Servers
64,188 MCP servers for AI apps. Filter by category, badge and popularity.
Developer Tools
The UVL Analyzer MCP is a Model Context Protocol server designed to analyze feature models written in the Universal Variability Language (UVL). It provides a variety of tools to process and extract insights from feature models, such as identifying atomic sets, calculating a.
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
Security scanner for MCP servers — vet an MCP before you wire it into an agent. Detects prompt-injection, credential exfiltration (via taint analysis), RCE, and supply-chain risks, and catches cross-server exfil chains no single server reveals. Zero-dependency local CLI, SARIF output
MCP Hive is a hub which connects MCP server consumers to paid MCP servers. For example, paid MCP servers might serve protected content, served by original copyright owners; paid MCP servers can serve data which was built by expert systems, such as financial and sports data repositories
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.
