Article Summary
The Model Context Protocol (MCP) is introduced as a standard enabling AI models to securely and verifiably access external data and tools, thereby enhancing their capabilities beyond their training data.
- MCP functions through a client-server architecture where MCP Clients (AI assistants) connect to MCP Servers (tool/resource providers).
- It allows AI models to call external APIs, query databases, or execute functions, with all interactions auditable.
- Key components include 'Tools' (APIs, functions) and 'Resources' (data sources), which are made accessible through MCP Servers.
- The protocol addresses critical issues of hallucination, data security, and verifiable data provenance for AI applications.