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Model Context Protocol (MCP)

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.
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.
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.
Using Anyshift’s MCP implementation offers several advantages:
  • Deep understanding of your AWS and Terraform infrastructure
  • Real-time context updates from your infrastructure
  • Accurate dependency mapping and impact analysis
To start using Anyshift’s MCP:
  1. Set up your Anyshift account
  2. Connect your infrastructure (AWS, Terraform)
  3. Generate your MCP API token
  4. Configure your preferred AI tools

MCP Integrations

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