MCP frames agent integration standard

MCP matters because it shifts agent tooling from bespoke one-off integrations to a shared transport layer the ecosystem can build around. That standardization is what makes the current agent wave feel more like platform infrastructure than prompt hacks.

• –The official docs describe MCP as a “USB-C port for AI applications,” which is a clean mental model for why developers care
• –Broad client support already exists across Claude, ChatGPT, Visual Studio Code, Cursor, and other tools, giving the protocol real distribution
• –The official `modelcontextprotocol/servers` GitHub repository has grown into a large community catalog of connectors, which is how standards start compounding
• –For developers, the payoff is lower integration cost: build a server once and expose the same capability across multiple AI clients
• –For agent builders, MCP turns tools like GitHub, Slack, databases, calendars, and browser automation into reusable infrastructure instead of custom glue code