Side-by-side comparison of two Model Context Protocol servers — install paths, tools, quality signals, and directory engagement so you can pick the right one for Claude, Cursor, and other MCP clients.
Policy enforcement for AI coding agents derived from existing instruction files (CLAUDE.md, .cursorrules, .windsurfrules, .github/copilot-instructions.md) — no separate YAML to maintain. Rules with prohibitive predicates (never, forbids, mustnot) emit permissionDecision: deny to block tool calls in Claude Code; advisory rules inject context. PostToolUse is correlated with PreToolUse to produce per-rule obeyed/ignored compliance verdicts in a local JSONL audit log. MCP tools — araiaddguard (register rules mid-session), arailistguards, arairecentdecisions — work in any MCP client (Claude Desktop, Cursor, Windsurf, Cline). No network on the hook hot path; opt-out anonymous telemetry.
Local-only GitHub Actions and CI maintenance scanner for AI-built apps. Exposes scanrepo, explainfinding, and generatefixplan to MCP clients; reads only allowlisted workflow and update configuration, modifies nothing, makes no outbound requests by default, and has zero runtime dependencies. Run with npx -y taskbounty-check@0.1.6 mcp.