MCP Enterprise Server v2.0.0
Model Context Protocol Unified Server -37 professional MCP tools supporting code analysis, project management, AI assistance, and quality assurance
](https://modelcontextprotocol.io/)   
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🚀 Quick Start
One click start (3 minutes)
# 1. 启动Docker服务
./start_services.sh
# 2. 启动MCP服务器
./restart_server_complete.sh
# 3. 配置Claude Code
# 编辑: ~/Library/Application Support/Claude/claude_desktop_config.json
{
"mcpServers": {
"mcp-remote": {
"url": "http://192.168.3.5:8765"
}
}
}verify
# 健康检查
curl http://localhost:8765/health
# 查看37个工具
curl http://localhost:8765/stats______________________________________________________________________
📦 core functionality
37 MCP tools
| Category | Quantity | Main Functions |
|---|---|---|
| Basic memory | 2 | Storage/Retrieval of Project Memory |
| code analysis | 8 | Code Base Analysis, Architecture Query, Dependency Tracking |
| Project context | 12 | Session management TODO、 Design decisions, notes |
| AI-assisted | 7 | Code understanding, refactoring suggestions, intelligent naming |
| Quality Protection | 8 | Code review, security scan, performance analysis |
Enterprise level characteristics
- ✅ HTTP serviceSupport LAN sharing
- ✅ API certification: Bearer Token
- ✅ Request flow restriction: 100 requests per minute
- ✅ real-time monitoringHealth Check and Statistics API
- ✅ Chinese supportJieba segmentation and intelligent retrieval
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📁 project structure
MCP/
├── mcp_server_enterprise.py # 主服务器 (HTTP + 认证)
├── mcp_server_unified.py # 核心服务器 (37工具)
├── config.yaml # 配置文件
├── restart_server_complete.sh # 完整重启脚本
├── start_services.sh # Docker服务启动
├── src/mcp_core/ # 核心服务
│ ├── services/ # 业务服务
│ │ ├── memory_service.py # 记忆服务 (含jieba)
│ │ ├── vector_db.py # Milvus向量库
│ │ └── redis_client.py # Redis缓存
│ ├── models/ # 数据模型
│ │ └── base.py # 统一Base (重要!)
│ └── *_service.py # 各功能服务
├── scripts/ # 维护脚本
│ ├── fix_all_schemas.sql # Schema批量修复
│ ├── sync_database_schema.sql # Schema同步
│ └── refactor_base.py # Base重构工具
├── docs/ # 文档
│ ├── INDEX.md # 文档导航 ⭐
│ ├── MCP_SYSTEM_STATUS_2025-11-19.md # 系统状态
│ ├── MEMORY_RETRIEVAL_FIX_2025-11-19.md # 检索修复
│ └── UNIFIED_BASE_REFACTOR_COMPLETE.md # Base重构
└── test_memory_retrieval.py # 检索功能测试______________________________________________________________________
🛠️ Common commands
Service Management
# 完整重启 (推荐)
./restart_server_complete.sh
# 启动Docker服务
./start_services.sh
# 查看服务器状态
ps aux | grep mcp_server_enterprise
# 查看日志
tail -f enterprise_server.logDatabase maintenance
# 修复所有Schema
docker exec -i mcp-mysql mysql -uroot -p'Wxwy.2025@#' < scripts/fix_all_schemas.sql
# 检查表结构
docker exec mcp-mysql mysql -uroot -p'Wxwy.2025@#' mcp_db -e "DESCRIBE project_sessions;"test
# 测试记忆检索
python3 test_memory_retrieval.py
# 端到端测试
python3 test_end_to_end.py______________________________________________________________________
🔧 configuration
environment variable
export DB_PASSWORD="Wxwy.2025@#"
export AI_API_KEY="your-api-key" # 可选config.yaml
server:
name: "mcp-unified-server"
version: "v2.0.0"
log_level: "INFO"
database:
url: "mysql+pymysql://root:${DB_PASSWORD}@localhost:3306/mcp_db"
ai:
enabled: true
provider: "anthropic"
model: "claude-3-5-sonnet-20241022"______________________________________________________________________
📊 monitor
API endpoint
# 健康检查
curl http://localhost:8765/health
# {
# "status": "healthy",
# "version": "v2.0.0",
# "tools_count": 37
# }
# 统计信息
curl http://localhost:8765/stats
# 返回: 服务器统计、工具使用、性能指标Docker Services
# 检查服务状态
docker ps --filter "name=mcp-"
# 输出:
# mcp-mysql - Up 2 hours
# mcp-redis - Up 2 hours
# mcp-milvus - Up 2 hours______________________________________________________________________
🐛 troubleshooting
Frequently Asked Questions
1. The server cannot start
# 检查端口占用
lsof -i :8765
# 查看错误日志
tail -50 enterprise_server.log2. Memory retrieval returns empty
# 确认jieba已安装
python3 -c "import jieba; print('OK')"
# 如未安装
pip3 install jieba3. Schema error
# 执行Schema修复
docker exec -i mcp-mysql mysql -uroot -p'Wxwy.2025@#' < scripts/fix_all_schemas.sql
# 重启服务器
./restart_server_complete.shMore questions: docs/MCP_SYSTEM_STATUS_2025-11-19.md
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📚 document
Core document
- INDEX.md -Document Navigation ⭐ Recommend starting from here
- MCP_SYSTEM_STATUS_2025-11-19.md -System Health Report
- MEMORY_RETRIEVAL_FIX_2025-11-19.md -Detailed explanation of memory retrieval and repair
- UNIFIED_BASE_REFACTOR_COMPLETE.md -Base Architecture Refactoring
- SESSION_ROLLBACK_FIX_2025-01-19.md -Session rollback repair
Quick Links
- Troubleshooting: MCP_SYSTEM_STATUS # Troubleshooting
- Configuration Description: config.yaml
- Database schema: scripts/fix_all_schemas.sql
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🔄 Recently updated (v2.0.0)
✅ New features
- 🌐 Enterprise level HTTP server (authentication, throttling, monitoring)
- 🔍 Chinese word segmentation support (jieba)
- 📊 Health Check and Statistics API
- 🚀 Complete restart script
🐛 Fixed
- ✅ Long term memory retrieval returns empty(Details)
- ✅ Base metadata isolation(Details)
- ✅ Session rollback error(Details)
- ✅ Inconsistent database schema
⚡ performance optimization
- Search response time: 20-40ms (first 800ms)
- Support mixed Chinese and English queries
- Keyword extraction accuracy: 100%
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📈 system metrics
| Indicator | Current Value |
|---|---|
| MCP tools | 37 |
| 18 database tables | |
| Retrieval accuracy | Excellent (0.4-0.8) |
| Response time | P95\<100ms |
| Normal operating time | 2+hours |
| Status | 🟢 Production ready |
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🤝 contribution
Welcome to contribute! Please read first docs/INDEX.md
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📄 license
MIT License - see details LICENSE
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🙏 Acknowledgments
- Model Context Protocol -MCP protocol specification
- Claude Code -AI Programming Assistant
- Anthropic - Claude AI
- jieba -Chinese Lexicon
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📞 support
- 📖 file: docs/INDEX.md
- 🏥 health examination: http://localhost:8765/health
- 📊 Statistical information: http://localhost:8765/stats
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Last updated: 2025-11-19 version: v2.0.0 status: 🟢 production ready maintenance: Claude Code AI Assistant
