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skills/mcp-server-creator/workflow/phase-1-discovery.md

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+# Phase 1: Discovery & Language Selection
+
+**Purpose**: Understand what the user wants to build and choose the right SDK
+
+## Questions to Ask
+
+### 1. Server Purpose
+- "What data source, tools, or workflows do you want to expose to AI?"
+- Examples: "Access PostgreSQL database", "Search Jira tickets", "Format code"
+
+### 2. Target AI Application
+- Claude Desktop (most common)
+- Custom AI application
+- Multiple clients
+
+### 3. Programming Language Preference
+- **TypeScript/Node.js** (recommended for web APIs, JavaScript ecosystem)
+- **Python** (recommended for data processing, ML workflows)
+- **Java/Spring AI** (enterprise Java applications)
+- **Kotlin** (Android/JVM applications)
+- **C#/.NET** (Windows/Azure applications)
+
+### 4. Capability Types Needed
+- **Tools**: Functions AI can call (e.g., "get_weather", "search_database")
+- **Resources**: Data AI can read (e.g., file contents, API responses)
+- **Prompts**: Specialized templates for common tasks
+
+## Output
+
+Clear understanding of:
+- Server purpose
+- Language choice
+- Capabilities needed (tools/resources/prompts)
+
+## Transition
+
+Proceed to Phase 2 (Project Structure Generation)