TL;DR — Model Context Protocol standardizes how AI applications discover and call tools, resources, and prompts.
What it is
MCP defines a client-server interface so models can access external capabilities consistently across runtimes.
Why it exists
Without a protocol, every tool integration is bespoke. MCP reduces integration overhead and increases portability.
Install
npm i @modelcontextprotocol/sdkBasic usage
# start MCP server exposing tools/resources
# connect from MCP client in your agent runtimeWhen to use, when to skip
Use it when this category is a bottleneck in your agent stack and you want faster delivery with fewer custom components.
Skip it when your workload is tiny, requirements are fixed, or a plain provider SDK plus a few local functions is enough.
Alternatives
Compare with adjacent tools in the same AI Native category and choose based on interface style, deployment model (hosted vs self-hosted), and team familiarity.
Verified against project documentation, June 2026.