MCP (Model Context Protocol)
A shared socket for AI tools
If you've ever thought, "I want AI to read my tools and data, not just chat," MCP is the key idea to know.
What is MCP?
MCP (Model Context Protocol) is a common interface between an AI model and external tools. It lets tools expose capabilities in a standardized way instead of building custom integration code every time.
It is often described as a "USB-C for AI tools": one protocol, many compatible integrations.
Why it matters
- Without MCP: each model-tool connection is bespoke.
- With MCP: one standard reduces duplicated plumbing.
That means teams can spend more time on user value and less on repetitive adapter work.
Practical outcomes
databaseData access
Assistants can query approved knowledge sources with clear boundaries.
terminalTool execution
Assistants can call external tools to perform concrete tasks, not just describe them.
Summary
MCP standardizes how AI talks to tools and data. This shared protocol makes assistants more practical, reliable, and easier to extend.