Capture and organize codebase insights by storing architectural decisions, performance bottlenecks, security concerns, code patterns, and refactoring opportunities for efficient analysis and collaboration.
Extract actionable insights from code repositories using the 'retrieve-codebase-insights' tool. Analyze syntax, dependencies, and AI-assisted workflows for improved development efficiency.
Update codebase insights by modifying an insight's content, type, related files, or tags within the CodeAnalysis MCP Server to enhance development workflows and maintain accurate project documentation.
Analyze codebases to generate foundational documentation including product features, technology stack, and project structure analysis in .spec/steering/ directory, with optional regeneration control.
A Model Context Protocol server that enables AI agents to retrieve and understand entire codebases at once, providing tools to analyze local workspaces or remote GitHub repositories.
Provides AI assistants with real-time visibility into your codebase's internal libraries, team patterns, naming conventions, and usage frequencies to generate code that matches your team's actual practices.