MODEL CONTEXT PROTOCOL
Standardizing AI interactions for better governance, transparency, and interoperability
What is MCP?
Model Context Protocol (MCP) is a framework for standardizing interactions between AI models and applications. It provides a structured way to define, document, and control how AI systems operate, making them more transparent, interoperable, and compliant with regulations.
As AI systems become more complex and widespread, the need for standardization becomes critical. MCP addresses this need by providing a common language and set of practices for AI implementation.
Key Components of MCP
- Context Definition
- Permission Management
- Execution Tracing
- Audit Logging
- Compliance Controls
Benefits of MCP
- Improved AI Governance
- Enhanced Transparency
- Standardized Interoperability
- Simplified Compliance
- Better Error Handling