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qualityAn MCP server that allows Claude AI to perform filesystem operations including reading, writing, listing, moving files, and searching directories within specified allowed paths.
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Enables Docker orchestration capabilities with tools for container management
Supports process management for production deployment of MCP servers
Integrates with PostgreSQL database for data persistence and management
Leverages Redis for caching and high-performance data operations
🚀 Claude MCP Server Ecosystem
🚨 CRITICAL: Two Issues That Keep Causing Problems
1. GLOBAL CONFIG REQUIRED
MCP configs MUST be global (
~/.claude/claude_code_config.json), NOT local/project-specificLocal configs are lost when changing directories
2. STDIO TRANSPORT REQUIRED
ALL MCP servers MUST use STDIO communication, NOT HTTP/ports
Claude Code only supports STDIO transport
Quick Fix for MCP Issues:
# If MCP tools not working in Claude Code:
exit # Exit current session
claude --mcp-config ~/.claude/claude_code_config.json # Restart with global config
Status: ✅ OPTIMIZED SYSTEM ARCHITECTURE IMPLEMENTED (2025-05-26)
Servers: 13 configured (optimized from 17 → 13 via consolidation)
Tools: 150+ available including consolidated data analytics and enhanced memory optimization
Memory: 58% reduction in memory overhead through server consolidation
⚡ INSTANT START (60 SECONDS)
1. Verify System Status:
bash verify-system-status.sh
2. Start MCP Ecosystem:
Option A - PM2 (Recommended for Production):
./start-mcp-pm2.sh
Option B - CLI (Legacy):
./claude-mcp-setup start
Expected: "All 11 servers ready, 0 failed"
3. Test in Claude Code:
/mcp
Expected: 11 connected servers listed (including enhanced-memory)
📚 DOCUMENTATION
🚀 START HERE
⚡ IMMEDIATE START:
START_HERE_IMMEDIATE.md- Where you are right now, what to do next💻 ENVIRONMENT STATUS:
DEVELOPMENT_ENVIRONMENT_STATUS.md- Current system state, process status, validation⌨️ COMMAND REFERENCE:
COMMAND_REFERENCE_IMMEDIATE.md- Copy-paste ready commands for all tasks
📖 COMPLETE DOCUMENTATION
⚡ Latest Session:
SESSION_2025-05-26_SYSTEM_OPTIMIZATION.md- Server consolidation, memory optimization, and performance improvements📊 Optimization Summary:
OPTIMIZATION_SUMMARY_2025-05-26.md- Executive summary of optimization results📖 Current State:
CURRENT_WORKING_STATE.md- Updated with session 2025-05-26 optimizations🧠 Previous Session:
SESSION_2025-05-25_ENHANCED_MEMORY_IMPLEMENTATION.md- Enhanced memory system + MCP fixes📖 Complete Guide:
README_AUTHORITATIVE_2025-05-24.md📁 Historical Docs:
docs/archive/(for reference only)
🎯 WHAT THIS PROJECT IS
A production-ready MCP server ecosystem that gives Claude AI 150+ specialized tools across:
📊 Consolidated Data Analytics (40+ tools): Unified server combining pipelines, warehousing, governance, ML deployment, real-time analytics
🧠 Enhanced Memory (3 tools): 6 optimization techniques including context compression, hierarchical memory, semantic chunking
🔐 Security (6 tools): Vulnerability scanning, compliance checking
🎨 Design (8 tools): UI analysis, accessibility, design systems
💾 Memory Management (5 tools): Persistent storage, context management
⚡ Optimization (5 tools): Performance profiling, bottleneck analysis
🏗️ Infrastructure (85+ tools): Database, Docker, configuration management
Key Optimization (2025-05-26): Consolidated 5 separate data analytics servers into 1 unified server, reducing memory usage by ~350MB while maintaining full functionality.
Infrastructure: PostgreSQL + Redis + Qdrant + Docker orchestration
⚠️ IMPORTANT
If you see any issues:
Run
bash verify-system-status.shfor diagnosisCheck
README_AUTHORITATIVE_2025-05-24.mdfor troubleshootingIgnore other markdown files (they contain outdated information)
Last Verified: 2025-05-24
Root Cause Fixed: claude-mcp-wrapper.sh environment variable configuration
Result: All 10 servers working with 149 tools available
This server cannot be installed
local-only server
The server can only run on the client's local machine because it depends on local resources.
A production-ready MCP server ecosystem providing Claude AI with 150+ specialized tools across enhanced memory, data analytics, security, design, and infrastructure domains with PostgreSQL, Redis, Qdrant, and Docker orchestration.
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