@stacksfinder MCP Server

Lists all available technology IDs grouped by category. Essential starting point for discovery. **Prerequisites**: None - this is typically the first tool to call. **Next Steps**: - Analyze a specific tech: `analyze_tech({ technology: "nextjs" })` - Compare techs: `compare_techs({ technologies: ["nextjs", "sveltekit"] })` - Get stack recommendation: `recommend_stack_demo({ projectType: "saas" })` **Categories**: frontend, backend, meta-framework, database, orm, auth, hosting, payments, cms **Example**: `list_technologies({ category: "frontend" })`

Detailed analysis of a technology with 6-dimension scores, strengths, weaknesses, and compatible technologies. **Prerequisites**: Use `list_technologies` first to discover valid technology IDs. **Next Steps**: - Compare with alternatives: `compare_techs({ technologies: ["tech1", "tech2"] })` - Get full stack recommendation: `recommend_stack_demo({ projectType: "saas" })` **Dimensions scored**: Developer Experience, Performance, Scalability, Security, Ecosystem, Cost **Common Pitfalls**: - Unknown technology ID: Use exact IDs from list_technologies (e.g., "nextjs" not "Next.js") **Example**: `analyze_tech({ technology: "nextjs", context: "mvp" })`

Side-by-side comparison of 2-4 technologies with per-dimension winners and compatibility matrix. **Prerequisites**: Use `list_technologies` first to discover valid technology IDs. **Next Steps**: - Deep dive into winner: `analyze_tech({ technology: "winner-id" })` - Get full stack: `recommend_stack_demo({ projectType: "saas" })` **Output includes**: - Score comparison table - Per-dimension winners - Compatibility between compared techs - Overall recommendation **Common Pitfalls**: - Must provide 2-4 technologies (not 1, not 5+) - Use exact IDs from list_technologies **Example**: `compare_techs({ technologies: ["nextjs", "sveltekit", "remix"], context: "mvp" })`

Quick tech stack recommendation based on project type and scale. **Prerequisites**: None - great starting point for new users. **Next Steps**: - Analyze a specific tech: `analyze_tech({ technology: "recommended-id" })` - Full recommendation with priorities: `recommend_stack()` **Output includes**: - Optimal technology for each category (frontend, backend, database, etc.) - Score and grade for each recommendation - Based on 100% deterministic scoring (no AI hallucinations) **Example**: `recommend_stack_demo({ projectType: "saas", scale: "mvp" })`

Recommends the best tech stack for a project using real-time scoring with context adjustments.