mcp-discovery

What problem does it solve?

This Skill eliminates the guesswork in selecting the right Model Context Protocol (MCP) servers for your project. It provides quantitative, domain-driven recommendations, ensuring you always have the optimal AI tools configured for maximum efficiency.

Core Features & Use Cases

• Domain-to-MCP Mapping: Analyzes project domain percentages (Frontend, Backend, Database, etc.) to recommend appropriate MCP servers (e.g., Puppeteer for Frontend-heavy projects).
• Tiered Recommendations: Prioritizes MCPs into Mandatory, Primary, Secondary, and Optional tiers with clear rationale, guiding your setup.
• Health Checking & Fallbacks: Generates workflows to check MCP health and provides graceful fallback chains for unavailable tools, ensuring continuous operation.
• Use Case: After analyzing your project specification, use this Skill to automatically get a prioritized list of MCPs, their setup instructions, and health checks, ensuring your AI environment is perfectly tailored to your needs.

Quick Start

Use mcp-discovery to recommend MCPs for a project with Frontend 60%, Backend 30%, Database 10%.