Discover Top MCP APPS – Your Curated, Secure, and Clutter-Free Directory

MCPApps are the applications and interfaces that bring the Model Context Protocol to life for end-users. While MCP Servers act as the backend 'plugins' that expose data and tools, MCPApps are the frontend experiences—such as Desktop Agents, IDEs, and specialized workflows—that consume these servers to provide context-aware intelligence. This list captures both the Applications and the UI Components (MCPApps UI) used to build them. MCP-UI now standardized as MCPAPPS. You can read more about MCP-UI at https://mcpui.dev/. The Model Context Protocol (MCP) is an open standard that enables AI models to interact with your data and tools. It provides a universal way to connect AI assistants to systems like databases, tailored APIs, and business applications.

 

Developers can submit their MCP App directly through AllMCPApps.com by providing the application name, description, MCP capabilities used, compatibility (ChatGPT, Claude, JetBrains plugin, desktop agent, etc.), and a link to the public repo or documentation. Each submission is reviewed for accuracy and adherence to the Model Context Protocol. Once approved, the app becomes discoverable to users, developers, and AI assistants, serving as a verified entry in the MCP ecosystem.

 

Yes. MCP Apps are designed to work across multiple platforms and agent environments because the Model Context Protocol is an open and vendor-neutral standard. MCP Apps can run inside agent environments such as ChatGPT, Claude, Replit, JetBrains, local desktop agents, and future MCP-compatible hosts. As long as the platform supports MCP, the same MCP App can run without being rewritten for each vendor — making the ecosystem inherently portable and extensible.

 

MCP Apps can range from lightweight productivity tools and file managers to fully interactive AI-powered user interfaces, dashboards, workflow systems, and IDE plugins. Some apps simply act as UI layers on top of MCP servers, while others provide advanced context-aware functionality — such as data analysis, automation, or secure system access. The Model Context Protocol allows apps to access tools, memory, storage, and other functionality in a safe, standardized way, making MCP suitable for both simple and highly specialized applications.

 

MCP Apps can range from lightweight productivity tools and file managers to fully interactive AI-powered user interfaces, dashboards, workflow systems, and IDE plugins. Some apps simply act as UI layers on top of MCP servers, while others provide advanced context-aware functionality — such as data analysis, automation, or secure system access. The Model Context Protocol allows apps to access tools, memory, storage, and other functionality in a safe, standardized way, making MCP suitable for both simple and highly specialized applications.