Model Context Protocols (MCPs)
Standardized protocols that enable AI models to safely interact with external systems, databases, and services while maintaining security and control.
Data Connector MCP
Connect AI models to databases, APIs, and external data sources with standardized protocols
API Gateway MCP
Secure and manage AI model access to external APIs with authentication and rate limiting
File System MCP
Enable AI models to read, write, and manage files across different storage systems
Web Browser MCP
Allow AI models to browse the web, extract information, and interact with web services
Cryptography MCP
Provide AI models with encryption, hashing, and cryptographic operations
Performance MCP
Monitor and optimize AI model performance with metrics and caching strategies
Message Queue MCP
Enable AI models to interact with message queues and event streams for asynchronous communication
Monitoring MCP
Provide AI models access to monitoring data, metrics, and logs from observability tools
Configuration MCP
Allow AI models to manage application configuration and environment settings
Testing MCP
Enable AI models to execute tests, generate test data, and analyze test results
Deployment MCP
Allow AI models to manage deployments, rollbacks, and infrastructure changes
Security Scanner MCP
Enable AI models to scan applications and infrastructure for security vulnerabilities
Database Migration MCP
Allow AI models to manage database schema changes and data migrations
Why Model Context Protocols?
MCPs provide a standardized way for AI models to interact with external systems while maintaining security boundaries and enabling controlled access to resources.
They enable AI models to access real-time data, perform actions, and integrate with existing infrastructure without compromising security or control.
By using MCPs, organizations can safely deploy AI models that can interact with their data and systems while maintaining compliance and security standards.
Key Benefits
- Standardized interfaces for AI model integration
- Enhanced security and access control
- Improved AI model capabilities and context
- Better integration with existing infrastructure