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.
Catch bad animations before they ship. 13 deterministic checks on the live page (duration, easing, stagger, exits, reduced-motion, touch-gated hover) with no API key or LLM, plus optional vision-LLM UX review across viewports. Install via NPM: npx -y motionlint mcp
AI-native architecture platform for engineering teams. Describe a system in natural language (e.g. "payment service with Stripe, Kafka, PostgreSQL") → get an interactive typed diagram with 167 cloud components → export to 14 production frameworks (Java Spring Boot, Python FastAPI, Go chi, Rust Axum, .NET, Kotlin Ktor, Ruby Rails, Elixir Phoenix, Docker Compose, Terraform, Mermaid, ADR, and more). Drift detection (syncarchitecture) scores saved diagrams against live code 0–100 with a structured diff. 9 quality-lint rules catch orphans, SPOFs, god services. Also includes a secondary persistent code-graph layer for AI coding agents (free offline via npx tentra-mcp --local init). Agent-as-LLM pattern — zero LLM cost on our side, zero API key on yours. 35 MCP tools. Works in Cursor, Claude Code, Codex, Windsurf.
Quality signal
41/100 (Fair)
47/100 (Fair)
Install path
npx · high
npx · high
Engagement
0 0 0 0
3 0 0 5
Tools
Not listed yet
Interactive typed architecture diagrams with 167 cloud componentsPersistent code graph indexing with semantic symbol and call graph queriesDrift detection scoring and structured diffs between diagrams and codeExports to 14 frameworks including Java Spring Boot, Python FastAPI, Go chi, Rust Axum, and Terrafo…Quality linting with 9 rules for orphans, single points of failure, and god services36 MCP tools covering architecture design, code graph read/write, and enrichment
