A companion MCP server that makes CSS legible to AI agents by resolving cascade, tracing properties, and explaining what applies and why before an agent modifies styles.
Eyes for AI coding agents: deterministic MCP server that tells the LLM which CSS rule wins, in which file, on which line — and why. Cascade verdicts, blast radius, interaction timelines, pixel-perfect audits.
MCP server that checks AI-generated CSS against design tokens, flagging off-brand values and suggesting the closest matching tokens for colors, spacing, radii, and typography.
MCP server that enables AI coding assistants to audit repositories against engineering rules, generating self-contained HTML reports with citations and optional GitHub issue filing.
An MCP server implementing a 7-stage agentic frontend workflow—from design audit to PR review—including AI-driven component generation, browser validation, E2E testing, and CI self-healing.
An MCP server that provides local code quality analysis for AI coding assistants, supporting file analysis, git diff review, and full project scanning with quality scoring.