🎯 Add MCP Preset System - Solves 160+ Tool Overload Problem #9
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- Adds preset management for organizing MCP servers - Includes built-in presets: Architect, Azure Dev, Data Analyst, Full Stack, Minimal - Visual tool counting with VSCode 128-tool warnings - Custom preset creation and import/export - Solves 160+ tool overload problem by focusing on 20-60 tools per workflow
- Detailed setup instructions for preset-based server management - Docker Compose configuration with server profiles - API endpoint specifications for backend integration - Usage examples and migration strategy
- Defines all built-in presets (Architect, Azure Dev, Data Analyst, Full Stack, Minimal) - Includes comprehensive server definitions with Docker configurations - Sets up tool limits and warnings for VSCode compatibility - Provides complete JSON configuration for backend integration
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🎯 MCP Preset System - Solves 160+ Tool Overload Problem
This PR introduces a comprehensive Preset System to organize MCP servers into focused collections, directly solving the problem of having 160+ tools active simultaneously.
✅ Key Features
🏗️ Built-in Presets:
📊 Tool Count Management:
👤 Custom Presets:
🚀 Problem Solved
Before: 160+ tools active → VSCode complaints, bloated context windows
After: 20-60 focused tools per workflow → Optimal performance, organized workflows
📁 Files Added
docs/preset-enhanced.html- Enhanced UI with preset managementdocs/preset-integration-guide.md- Complete integration instructionsdocs/presets/preset-config.json- Preset definitions and server configs🔧 Integration Ready
🎯 Impact
This directly addresses the core issue: instead of overwhelming AI clients with 160+ tools, users can activate focused collections of 20-60 tools per specific workflow.
Ready for immediate deployment to mcp.collabnix.com! 🚀