About Model Context Protocol
The Model Context Protocol (MCP) is an open protocol that enables AI models to securely interact with local and remote resources through standardized server implementations.
What is MCP?
Just as USB-C provides a standardized way to connect electronic devices, MCP provides a standardized way to connect AI applications to external systems. This allows AI agents to access various services, tools, and data sources in a secure and controlled manner.
How MCP Works
MCP works by defining a standard protocol for communication between AI models and external resources. This protocol allows AI models to:
- Discover available tools and resources
- Request access to specific resources
- Receive data from external sources
- Send commands to external systems
- Maintain context across interactions
Benefits of MCP
For Users
- Enhanced AI capabilities through access to external tools
- Consistent experience across different AI models
- Greater control over what resources AI can access
- Improved privacy and security
For Developers
- Standardized way to extend AI capabilities
- Reduced development time for integrations
- Access to a growing ecosystem of compatible tools
- Ability to focus on unique value propositions
MCP Ecosystem
The MCP ecosystem consists of:
- MCP Servers: Implementations that provide specific functionality to AI models
- MCP Clients: AI models and applications that can connect to MCP servers
- MCP SDKs: Development kits for creating new MCP servers in various programming languages
- MCP Community: Developers, users, and organizations contributing to the protocol
Getting Started with MCP
To get started with MCP:
- Choose an AI model or application that supports MCP
- Select MCP servers that provide the functionality you need
- Configure the connection between your AI model and the MCP servers
- Start using the enhanced capabilities in your AI interactions
Learn More
To learn more about MCP, visit the following resources: