Enables AI assistants to review GitLab merge requests by fetching changes, analyzing diffs, adding comments, and managing approvals through the GitLab API. Supports complete merge request analysis, file-specific reviews, and version comparisons.
Framework-agnostic architecture-rule enforcement for AI agents: analyzes Python codebases import graphs against declarative rulesets to report layer, forbidden-import, and cycle violations with file and line numbers. Supports MCP, OpenAI, Anthropic, LangChain, LlamaIndex, and CLI integrations.
Serves the architectural graph of a hexagonal-architecture codebase to coding agents via stdio, providing tools to analyze dependencies, check violations, and inspect structural changes.
Structural code intelligence for AI agents. Scan once, query everything — dead exports, circular imports, dependency graphs, and more. CLI + MCP server.
Provides persistent architectural memory and structural cognition for AI coding agents, enabling efficient orientation, graph-aware context, and drift detection across codebase evolution.
Real-time architecture governance tool that enforces Clean Architecture, DDD, SOLID, TDD, and Security rules across 8 languages using 11 specialized agents.
Provides deep structural analysis of Python source code via AST, including function signatures, call graphs, cyclomatic complexity, code smells, dead code detection, and protocol conformance.
