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Official Codinfy Codix Build MCP - Build websites, mobile apps, SaaS, scripts and software faster with AI agents while reducing token usage via Smart Context Mode. Works with Claude Code, Codex, Cursor, Continue, Cline, Windsurf.
16 tools with complete input schemas and descriptions, but quality is uneven. All tools have descriptions (10-200 chars, baseline 194), and all expose input schemas with proper Zod validation. However, descriptions are often generic and lack actionable context for LLM selection. Parameter descriptions are sparse or missing entirely in many tools. No output schemas documented. Error handling is minimal (only try/catch with generic fail()). Tool names follow verb_noun pattern but lack clarity on mutual exclusivity and dependencies. No tool annotations (readOnlyHint, destructiveHint, idempotentHint) despite all tools being READ_ONLY operations.
Generate API route/controller/service/validation/test plan from resources.
Return the canonical architecture layers and build order for a project type and stack.
Smart Context Mode: return only the context chunks needed for the active task.
Suggest prompt-token and infrastructure cost optimizations.
Generate database schema guidance: migrations, relations and seeders.
Map an error message to likely causes and verification commands.
Generate deployment steps for cPanel, VPS, Docker, Vercel, Render, Railway, Cloudflare Pages, Firebase, Supabase or app stores.
No output schemas documented. Tools return JSON via ok() helper but LLMs cannot predict response structure, forcing them to guess field names and types for downstream reasoning.
Descriptions lack actionable context. Most are 55-65 chars and state WHAT the tool does but not WHEN to use it or what it returns. E.g., 'Apply a pragmatic design system: tokens, components and app-like mobile UX rules' does not explain when to call it vs other design tools or what output to expect.
| Scored | Grade | Overall | Spec posture | Rubric |
|---|---|---|---|---|
| 2026-09-23 | D | 56 | 2026-07-28+ | v2 |
Apply a pragmatic design system: tokens, components and app-like mobile UX rules.
Generate documentation outline and starter snippets.
Generate Codinfy-compatible license integration instructions without hardcoding secrets.
Check readiness for Codinfy Store / CodeCanyon packaging.
Analyze a short project brief into type, modules, risks, milestones and Smart Context chunks.
Generate a compact agent prompt using Smart Context Mode instead of long pasted docs.
Return a security checklist for stack, features and compliance needs.
Recommend a stack from project type, budget, team level and hosting target.
Return a project template file tree, commands and notes for Laravel, Next.js, Flutter, WordPress, API, docs and more.
No tool annotations despite all tools being READ_ONLY. Missing readOnlyHint metadata prevents clients from optimizing caching and retry logic. Current spec (2026-07-28) expects tool annotations for safety classification.
Error handling is generic. All tools use fail() which returns raw error messages without recovery guidance. LLMs cannot determine if errors are retryable, user-fixable, or fatal.
Parameter descriptions are missing or minimal. Many enum parameters lack explanation of what each value means. E.g., 'projectType' enum has 13 values but no description of when to use 'saas' vs 'marketplace' vs 'dashboard'.