The Model Context Protocol (MCP) is a standardized way to provide context to AI models, enabling them to understand and work with your infrastructure knowledge. For more information about MCP, visit Anthropic’s MCP documentation.
What is MCP?
Anyshift Infrastructure Context (Terraform, AWS) exposes real-time, structured infrastructure context via a deep knowledge graph: AWS-connected resources, Terraform modules, nested dependencies, resource ownership, configuration history, hardcoded values, and drift detection.
How does Anyshift MCP work?
Anyshift’s MCP implementation provides a comprehensive infrastructure context through a deep knowledge graph that includes:
AWS-connected resources: Real-time mapping of your AWS infrastructure
Terraform modules: Understanding of your infrastructure as code
Nested dependencies: Complete view of resource relationships
Resource ownership: Clear tracking of resource ownership and responsibility
Configuration history: Historical changes and their impact
Hardcoded values: Detection of hardcoded values in your infrastructure
Drift detection: Real-time monitoring of infrastructure changes
This rich context enables AI tools to provide more accurate and relevant assistance for your infrastructure tasks.
Benefits of Anyshift MCP
Using Anyshift’s MCP implementation offers several advantages:
Deep understanding of your AWS and Terraform infrastructure
Real-time context updates from your infrastructure