MCP enables Claude to perform actions beyond just text output, such as interacting with other applications and even operating devices like 3D printers, enhancing its functionality.

We're witnessing a shift where MCP servers are increasingly hosted in the cloud, allowing for easier integration into workflows, particularly with Claude AI.

The possibilities with MCP are vast; anything that can be accessed via an API can potentially be controlled through an MCP server.

Using Claude Code, you can quickly create an MCP server in about 10 minutes, which demonstrates how accessible it is to get started.

There's a magical moment when you teach Claude something new using an MCP server, and it takes action on something meaningful to you, creating excitement and engagement.

To use Claude's computer capabilities, developers must run it in a virtual machine or container and obtain an Anthropic API key, after which they can interact with Claude through a dedicated browser interface.

MCP has become an industry standard for integration protocols, with many companies now adopting it into their products and creating servers to connect with various clients.

The ability to interact with Claude as if it were a fellow programmer is a new aspect of programming, allowing for background operations without direct involvement.

The origin of MCP stemmed from frustrations with copying data between applications, leading to the desire for a solution that simplifies data transfer between Claude desktop and IDEs.