Short answer
MCP is an open protocol for connecting AI clients to external tools, prompts, and data. It standardizes how clients discover capabilities and invoke them so every vendor does not have to invent a new plugin system from scratch.
If skills are reusable instructions, MCP is the runtime plumbing that lets agents talk to live integrations.
Why MCP matters
Before MCP, every AI client needed a custom integration model, which fragmented the ecosystem. A standard protocol makes it easier for one server to work across multiple hosts and for users to compare install and permission models across clients.
What an MCP server can expose
Tools are the most visible part, but MCP can also expose prompts, resources, and in some clients richer app-like surfaces. That means the protocol is not just about “run this function”; it is also about sharing structured context in a host-friendly way.
Why a standard protocol does not remove risk
MCP makes integration easier. Easier integration also means easier installation, easier proliferation of unofficial servers, and easier accidental overexposure of local or OAuth-backed capabilities. Standards solve compatibility. They do not solve trust by themselves.
Sources and further reading
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