Best Dependency Graph AI Skills & MCP Servers

Lightweight pre-commit safety gate for AI agents. Answers 'is this change safe?' with PASS/WARN/BLOCK verdict in seconds. Zero setup, no database.

Real-time code quality gates & dependency graph for AI-assisted development. MCP server for Claude Code, GitHub Copilot, and any MCP-compatible agent.

AI code impact analysis MCP server — dependency graphs, cascade detection, and a mandatory build gate for AI coding agents

AI Governance Era v6.1: loungeservice-grade project initialization. Creates 8-folder structure with complete AI governance (AI_RULES.md, AI_ROLE_MATRIX.yaml, NAMING_EXCEPTIONS.md, DEVELOPMENT.md, project.md) and bridge files (.cursorrules, .windsurfrules)

Repository scanner that builds a structural map of a codebase (functions, imports, exports, dependencies) and adds file descriptions of what the file does,, so anagentic AI can just read the map and know the project context

ctxloom — The Universal Code Context Engine. A local-first MCP server providing intelligent code context via hybrid Vector + AST + Graph search with Skeletonization (92% token reduction).

Dependency graph + 23 MCP tools for AI coding assistants. Impact analysis, health scoring, security scanner, agent coordination.

48-tool MCP server for codebase analysis — dependency graphs, architecture layers, security scanning, refactor plans, git history, and more. Works with GitHub and GitLab repos (cloud + self-hosted) and local directories.