Learn about Model Context Protocol
Understand how MCP servers work, why trust matters, and how to integrate them securely.
What is Model Context Protocol (MCP)?
Model Context Protocol (MCP) is a standardized method for AI models to securely and efficiently interact with external services, data sources, and tools. MCP servers act as bridges between large language models and the wider digital world, enabling them to perform specific functions like searching the web, accessing databases, or automating browsers.
MCP Servers
Purpose-built applications that provide specific functionality to AI models
MCP Protocol
Standard communication protocol for AI models to request and receive external services
Why MCP Matters
As AI models become more powerful, they need secure and standardized ways to interact with external systems. MCP provides a framework that allows models to:
- Extend their capabilities beyond their training data
- Access real-time information and services
- Perform specific tasks with specialized tools
- Maintain security boundaries while accessing external resources
Examples of MCP Servers
MCP servers can provide a wide range of capabilities, such as:
Search Engines
Access real-time information from the web
Database Access
Query and manipulate structured data
File Systems
Read, write, and manage files
API Gateways
Access third-party services and platforms