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Claude MCP Server Ecosystem

by Coder-RL

🚀 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-specific
  • Local 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

📖 COMPLETE DOCUMENTATION


🎯 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:

  1. Run bash verify-system-status.sh for diagnosis
  2. Check README_AUTHORITATIVE_2025-05-24.md for troubleshooting
  3. Ignore 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

-
security - not tested
F
license - not found
-
quality - not tested

local-only server

The server can only run on the client's local machine because it depends on local resources.

Claude AI에 PostgreSQL, Redis, Qdrant 및 Docker 오케스트레이션을 통해 향상된 메모리, 데이터 분석, 보안, 디자인 및 인프라 도메인에 걸쳐 150개 이상의 특수 도구를 제공하는 프로덕션에 바로 사용 가능한 MCP 서버 생태계입니다.

  1. 🚨 중요: 문제를 일으키는 두 가지 문제
    1. 1. 글로벌 구성 필요
    2. 2. STDIO 전송이 필요합니다
    3. MCP 문제에 대한 빠른 해결 방법:
  2. ⚡ 즉시 시작(60초)
    1. 1. 시스템 상태 확인:
    2. 2. MCP 생태계 시작:
    3. 3. Claude Code에서 테스트:
  3. 📚 문서
    1. 🚀 여기서 시작하세요
    2. 📖 완전한 문서
  4. 🎯 이 프로젝트는 무엇입니까?
    1. ⚠️ 중요

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