Mcp Sql Server

MCP SQL Server

A Model Context Protocol server that provides comprehensive access to SQL databases, starting with MSSQL support. This server enables AI assistants to inspect database schemas, execute queries, and perform database operations with enterprise-grade security and performance monitoring.

Current Status: MSSQL fully supported. MySQL and PostgreSQL support coming in future releases.

✨ Key Features

• Database Support: Full MSSQL support (MySQL and PostgreSQL coming soon)
• Schema Inspection: Comprehensive database structure analysis and metadata extraction
• Query Execution: Safe SQL execution with parameterized queries and result formatting
• Performance Monitoring: Real-time metrics, query statistics, and performance reports
• Security First: SQL injection prevention, connection encryption, and access controls
• Batch Operations: Efficient bulk query execution and transaction management
• Connection Pooling: Optimized connection management with configurable pool settings
• MCP Integration: Native support for Claude Desktop, Cursor, and other MCP-compatible tools

📦 Installation & Setup

Prerequisites

• Node.js 18.0.0+ - Download here
• Database Server: Microsoft SQL Server (MSSQL)
• AI Assistant: Claude Desktop, Cursor, or any MCP-compatible tool

Note: Currently only MSSQL is supported. MySQL and PostgreSQL support will be added in future releases.

Quick Installation

# Install globally via NPM
npm install -g @donggyunryu/mcp-sql

Basic Configuration

Refer to env.example

Create a .env file with your database settings:

# Create .env file with your database settings
# DB_TYPE=mssql # Current only MSSQL supported
DB_HOST=localhost
DB_PORT=1433
DB_DATABASE=your_database
DB_USER=your_username
DB_PASSWORD=your_password
DB_ENCRYPT=false
DB_TRUST_SERVER_CERTIFICATE=true

Test Connection

# Test your database connection
npm run test:db # in local environment

#or
npx @donggyunryu/mcp-sql test:db

🚀 Quick Start

Local Environment

1. Clone the repository:

   git clone https://github.com/ryudg/mcp-sql.git
   cd mcp-sql
   

2. Install dependencies

   npm install
   

3. Build the project

   npm run build
   

4. Add to your mcp.json or setting.json, claude_desktop_config.json

   {
     "mcpServers": {
       "mcp-sql": {
         "command": "node",
         "args": ["/full/path/to/mcp-mysql/build/index.js"],
         "env": {
           // "DB_TYPE": "mssql", # Current only MSSQL supported
           "DB_SERVER": "localhost",
           "DB_PORT": "1433",
           "DB_DATABASE": "your_database",
           "DB_USER": "your_username",
           "DB_PASSWORD": "your_password",
           "DB_ENCRYPT": "false",
           "DB_TRUST_SERVER_CERTIFICATE": "true",
           "NODE_ENV": "development",
           "LOG_LEVEL": "info"
         }
       }
     }
   }
   

Configure AI Assistant

For Claude Desktop:

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "mcp-sql": {
      "command": "npx",
      "args": ["-y", "@donggyunryu/mcp-sql"],
      "env": {
        // "DB_TYPE": "mssql", # Current only MSSQL supported
        "DB_HOST": "localhost",
        "DB_PORT": "1433",
        "DB_DATABASE": "your_database",
        "DB_USER": "your_username",
        "DB_PASSWORD": "your_password",
        "DB_ENCRYPT": "false",
        "DB_TRUST_SERVER_CERTIFICATE": "true"
      }
    }
  }
}

For Cursor(VSCode, Windsurf... etc IDE):

Add to your MCP settings:

{
  "mcpServers": {
    "mcp-sql": {
      "command": "npx",
      "args": ["-y", "@donggyunryu/mcp-sql"],
      "env": {
        // "DB_TYPE": "mssql", # Current only MSSQL supported
        "DB_HOST": "localhost",
        "DB_PORT": "1433",
        "DB_DATABASE": "your_database",
        "DB_USER": "your_username",
        "DB_PASSWORD": "your_password",
        "DB_ENCRYPT": "false",
        "DB_TRUST_SERVER_CERTIFICATE": "true"
      }
    }
  }
}

Start Using

Restart your AI assistant and try:

"Show me all tables in my database"
"What's the structure of the users table?"
"Find all active users from the last 30 days"

💬 Usage Examples

Schema Exploration

"Show me all tables in the database"
"What's the structure of the users table?"
"List all columns in the orders table with their data types"

Data Queries

"Find all active users registered in the last 30 days"
"Show me the top 10 customers by total order value"
"Get all pending orders from this month"

Performance Monitoring

"Show me current connection pool status"
"What are the slowest queries in the last hour?"
"Generate a performance report for today"

🛠️ Available Tools

The MCP SQL server provides the following tools for database interaction:

Schema & Discovery Tools

Tool	Description	Parameters
list_tables	List all tables in database	pattern (optional): Filter pattern
describe_table	Get detailed table structure	table_name: Name of table to describe
get_schema	Get complete database schema	include_system_tables: Include system tables
get_schema_statistics	Get schema statistics information	None

Query Execution Tools

Tool	Description	Parameters
execute_query	Execute SQL queries safely	query: SQL statement parameters: Bind parameters
start_batch_processing	Process multiple queries in batch	queries: Array of SQL statements

Performance & Monitoring Tools

Tool	Description	Parameters
get_connection_pool_status	Get database connection pool status	None
get_query_stats	Get query execution statistics	period: Time period (optional)
start_performance_monitoring	Start performance monitoring	interval: Monitoring interval (ms)
generate_performance_report	Generate performance analysis report	timeRange: Report period
clear_caches	Initialize cache data	None

🛡️ Security

• Connection Encryption: TLS/SSL connection support
• Parameter Binding: SQL injection prevention
• Access Control: Database user permission-based control
• Logging: Complete query execution logging
• Input Validation: Comprehensive input sanitization

Security Best Practices

• Use dedicated database users with minimal required permissions
• Enable SSL/TLS encryption for database connections when possible
• Use connection pooling with appropriate limits
• Never commit credentials to version control
• Use environment variables for all sensitive configuration

🗺️ Roadmap

Upcoming Features

• 🔮 Multi-Database Support

  • MySQL adapter implementation
  • PostgreSQL adapter implementation
  • Unified database interface

• ⚡ Performance & Caching

  • Query result caching system
  • Advanced performance optimization
  • Connection pool enhancements

• 🧪 Testing & Quality

  • Comprehensive test coverage (100%)
  • Automated CI/CD pipeline
  • Performance benchmarking

• 🚀 Advanced Features

  • GraphQL integration support
  • Enhanced monitoring dashboard
  • Plugin architecture for extensibility

• 📊 Analytics & Insights

  • Advanced query analytics
  • Database performance insights
  • Usage statistics and reporting

View CHANGELOG

Support & Community

• 📋 Issues: Report bugs or request features
• 💬 Discussions: Community discussions and Q&A
• 📖 Documentation: Comprehensive guides and API docs

📝 License

This project is licensed under the MIT License. See the LICENSE file for details.

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MCP SQL Server v1.0.0 - Bridging AI and databases