MCP (Model Context Protocol) eliminates the need for custom integration code when connecting AI to data sources. An MCP server acts as a lightweight wrapper exposing resources (readable data), prompts (interaction templates), and tools (callable functions) through a standard interface. Any MCP-compatible AI can then access the data source, and adding new MCP servers (e.g., for Slack or GitHub) makes them instantly available to all AI applications in the setup.
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