MCP
MCP (Model Context Protocol) is a protocol designed to provide AI systems with standardized access to different sources of information.
Key Features
- Standardized interface: acts as an adapter that connects AI models to real-world data.
- Interoperability: enables AI agents to interact with multiple sources without requiring custom integrations.
- Ease of development: by offering a common set of interfaces, it simplifies the creation of AI agents and makes it easier to chain or couple them together.
- Scalability: allows new services or data sources to be added without complex reconfiguration.
Applications
- Connecting AI models to corporate databases, APIs, and documents.
- Building agents that combine multiple sources of information in real time.
- Supporting workflows in personal knowledge management (PKMS) systems and enterprise environments.
Importance
MCP helps make AI more contextual and useful, enabling agents not only to process language but also to interact with concrete, up-to-date data.