AI-powered backend diagnostics MCP server that statically analyzes frontend and backend code to catch cross-boundary bugs, contract drift, missing validation, security gaps, and performance anti-patterns before deployment.
MCP server that provides code validation rules and analysis for various stacks/frameworks, enabling automated code reviews and reporting directly from VS Code and other editors.
MCP server that scans multi-language codebases to detect stubs, missing imports, and structural incompleteness, assigning drift scores to quantify LLM context erosion.
Static analysis engine that detects schema mismatches between data producers (like MCP servers) and consumers (like client code), preventing runtime errors by validating contracts at development time.
