How MCP Is Changing AI Agent Development
Every team building AI agents eventually runs into the same wall. The model can reason, plan, and write fluent responses — but the moment it needs to touch a real system (a database, a file store, a ticketing tool, a search API), someone has to write custom glue code. Do that for every tool, for every model provider, across every project, and you end up with a tangle of one-off integrations that nobody wants to maintain.
This is the problem the Model Context Protocol (MCP) was built to solve. Introduced by Anthropic in late 2024 and since adopted well beyond its original ecosystem, MCP proposes something deceptively simple: a standard interface between AI applications and the tools or data sources they need. It's often compared to USB-C — not because the analogy is exciting, but because it's accurate. Before USB-C, every device needed its own cable. MCP is trying to...
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