
Warp SQL Server MCP
Enables secure database operations on SQL Server instances through a three-tier safety system, supporting schema exploration, query execution, performance analysis, and data export with configurable security levels from read-only to full development access.
README
SQL Server MCP - AI-Powered Database Integration
Connect AI assistants to your SQL Server databases with enterprise-grade security and performance.
🤖 AI-First Database Access: Enable GitHub Copilot, Warp AI, and other assistants to interact with your SQL Server databases through natural language queries, with comprehensive security controls and production-ready reliability.
🚀 Quick Start - Choose Your AI Assistant
New to this project? Get up and running in under 5 minutes!
🤖 GitHub Copilot in VS Code (⭐ Most Popular)
Perfect for developers who want AI-powered SQL assistance directly in their IDE.
→ 5-Minute VS Code Setup Guide
- ✅ GitHub Copilot can query your databases directly
- ✅ Context-aware suggestions based on your actual schema
- ✅ Natural language to SQL query generation
- ✅ Real-time insights while coding
💬 Warp Terminal
Ideal for terminal-based workflows and command-line database interactions.
- ✅ AI-powered terminal with SQL Server integration
- ✅ Natural language database queries
- ✅ Fast iteration for analysis and debugging
- ✅ Cross-platform terminal experience
🔧 Advanced Integration
Complete VS Code Integration Guide → - Advanced workflows and configuration
Using another AI assistant? This MCP server works with any MCP-compatible system.
✨ What You Get
- 🤖 Natural language to SQL - Ask questions, get queries
- 🔒 Enterprise security - Three-tier safety system with secure defaults
- 📊 Performance insights - Query optimization and bottleneck detection
- ☁️ Cloud-ready - AWS/Azure secret management
- 🚀 Streaming support - Memory-efficient handling of large datasets
- 📈 15 Database Tools - Complete database operations through AI
🔒 Security Levels (Quick Reference)
Security Level | Environment Variable | Default | Impact |
---|---|---|---|
🔒 Read-Only Mode | SQL_SERVER_READ_ONLY |
true |
Only SELECT queries allowed |
⚠️ Destructive Operations | SQL_SERVER_ALLOW_DESTRUCTIVE_OPERATIONS |
false |
Controls INSERT/UPDATE/DELETE |
🚨 Schema Changes | SQL_SERVER_ALLOW_SCHEMA_CHANGES |
false |
Controls CREATE/DROP/ALTER |
🔒 Maximum Security (Default - Production Recommended):
SQL_SERVER_READ_ONLY=true # Only SELECT allowed
SQL_SERVER_ALLOW_DESTRUCTIVE_OPERATIONS=false # No data modifications
SQL_SERVER_ALLOW_SCHEMA_CHANGES=false # No schema changes
📋 Essential Environment Variables
Variable | Required | Default | Description |
---|---|---|---|
SQL_SERVER_HOST |
Yes | localhost |
SQL Server hostname |
SQL_SERVER_PORT |
Yes | 1433 |
SQL Server port |
SQL_SERVER_DATABASE |
Yes | master |
Initial database |
SQL_SERVER_USER |
For SQL Auth | - | Database username |
SQL_SERVER_PASSWORD |
For SQL Auth | - | Database password |
SQL_SERVER_ENCRYPT |
No | false |
Enable SSL/TLS |
SQL_SERVER_TRUST_CERT |
No | true |
Trust server certificate |
💡 Tip: For Windows Authentication, leave
SQL_SERVER_USER
andSQL_SERVER_PASSWORD
empty.
🛠️ Installation & Configuration
⭐ Recommended: Global npm Installation
# Install globally via npm (easiest method)
npm install -g @egarcia74/warp-sql-server-mcp
# Initialize configuration
warp-sql-server-mcp init
# Edit config file with your SQL Server details
# Config file location: ~/.warp-sql-server-mcp.json
Benefits:
- ✅ No manual path configuration
- ✅ Secure credential storage with file permissions (600)
- ✅ Easy configuration updates without touching AI assistant settings
- ✅ Password masking and validation
Alternative: Manual Installation
# Clone and install manually
git clone https://github.com/egarcia74/warp-sql-server-mcp.git
cd warp-sql-server-mcp
npm install
🎯 Use Cases
🔍 Database Analysis & Exploration
- Schema Discovery: Reverse engineer legacy databases without documentation
- Data Quality Assessment: Spot-check data integrity across tables
- New Team Onboarding: Rapidly explore unfamiliar database schemas
📊 Business Intelligence & Reporting
- Ad-hoc Analysis: Quick business questions through natural language
- Data Export: Export filtered datasets to CSV for analysis
- Revenue Analysis: AI-powered business insights
🛠️ Development & DevOps
- Query Performance Tuning: Execution plan analysis and optimization
- API Development: Quickly test database queries during development
- Database Troubleshooting: Debug slow queries and identify bottlenecks
🚀 AI-Powered Operations
- Natural Language to SQL: Ask questions like "Show me customers who haven't placed orders"
- Query Optimization: "Why is this query running slowly?"
- Automated Insights: Generate business reports through conversational queries
📚 Complete Documentation
User Guides
- Security Guide - Comprehensive security configuration and threat model
- Architecture Guide - Technical deep-dive and system design
- All MCP Tools - Complete API reference (15 tools)
Setup Guides
- VS Code Integration Guide - Advanced workflows and configuration
- Azure Key Vault Guide - Cloud secret management setup
- AWS Secrets Manager Guide - Enterprise credential management
Developer Resources
- Software Engineering Manifesto - Philosophy and engineering practices
- Testing Guide - Comprehensive test documentation (535+ tests)
- Contributing Guide - Development workflow and standards
🧪 Production Validation
✅ PRODUCTION-VALIDATED: This MCP server has been fully tested through:
- 535+ Unit Tests: All MCP tools, security boundaries, error scenarios
- 40 Integration Tests: Live database validation across all security phases
- 20 Protocol Tests: End-to-end MCP communication validation
- 100% Success Rate: All security phases validated in production scenarios
Security Phases Tested:
- Phase 1 (Read-Only): Maximum security - 20/20 tests ✅
- Phase 2 (DML Operations): Selective permissions - 10/10 tests ✅
- Phase 3 (DDL Operations): Full development mode - 10/10 tests ✅
# Run tests locally
npm test # All automated tests
npm run test:coverage # Coverage report
npm run test:manual # Manual integration tests (requires live DB)
🔧 Usage Examples
Once configured, you can use natural language with your AI assistant:
VS Code + GitHub Copilot
@sql-server List all databases
@sql-server Show me tables in the AdventureWorks database
@sql-server Generate a query to find the top 10 customers by sales
@sql-server Analyze the performance of this query: SELECT * FROM Orders WHERE OrderDate > '2023-01-01'
Warp Terminal
Please list all databases on the SQL Server
Execute this SQL query: SELECT TOP 10 * FROM Users ORDER BY CreatedDate DESC
Can you describe the structure of the Orders table?
Show me 50 rows from the Products table where Price > 100
🚨 Troubleshooting
Common Issues
Connection Problems:
- Verify SQL Server is running on the specified port:
telnet localhost 1433
- Check firewall settings on both client and server
- Enable TCP/IP protocol in SQL Server Configuration Manager
Authentication Issues:
- For SQL Server Auth: Verify
SQL_SERVER_USER
andSQL_SERVER_PASSWORD
- For Windows Auth: Leave user/password empty, optionally set
SQL_SERVER_DOMAIN
- Ensure the connecting user has appropriate database permissions
Configuration Issues:
- Set
SQL_SERVER_ENCRYPT=false
for local development - MCP servers require explicit environment variables (
.env
files are not loaded automatically) - Check MCP server logs in your AI assistant for startup messages
Platform-Specific
Windows:
- Enable TCP/IP in SQL Server Configuration Manager
- Start SQL Server Browser service for named instances
- Windows Authentication works seamlessly with domain accounts
macOS/Linux:
- Remote SQL Server connections often require SQL Server Authentication
- May need
SQL_SERVER_ENCRYPT=true
for remote connections - Test connectivity:
nc -zv localhost 1433
ornmap -p 1433 localhost
🤝 Contributing
This project demonstrates enterprise-grade software engineering practices. We welcome contributions that maintain our high standards:
- Fork the repository and create a feature branch
- Follow TDD practices - write tests first!
- Maintain code quality - all commits trigger automated quality checks
- Add comprehensive tests for new functionality
- Update documentation as needed
- Submit a pull request with detailed description
Development Commands:
npm run dev # Development mode with auto-restart
npm test # Run all tests
npm run lint:fix # Fix linting issues
npm run format # Format code
npm run ci # Full CI pipeline locally
📄 License
This project is licensed under the MIT License - see the LICENSE file for details.
Copyright (c) 2025 Eduardo Garcia
🌟 About This Project
While this appears to be an MCP server for SQL Server integration, it's fundamentally a comprehensive framework demonstrating enterprise-grade software development practices. Every component, pattern, and principle here showcases rigorous engineering standards that can be applied to any production system.
Key Engineering Highlights:
- 🔬 535+ Comprehensive Tests covering all functionality and edge cases
- 🛡️ Multi-layered Security with defense-in-depth architecture
- 📊 Production Observability with structured logging and performance monitoring
- ⚡ Enterprise Reliability featuring connection pooling and graceful error handling
- 🏛️ Clean Architecture with dependency inversion and modular design
- 📚 Living Documentation that auto-syncs with code changes
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