Execute Automation Database MCP Server

Overview

Execute Automation Database MCP Server provides a universal interface for managing multiple database types through the Model Context Protocol. It enables AI assistants to work seamlessly with SQLite, SQL Server, PostgreSQL, and MySQL.

Supported Databases

SQLite

• Embedded database support
• File-based databases
• In-memory databases
• Zero configuration
• Perfect for development

SQL Server

• Microsoft SQL Server
• Azure SQL Database
• Managed instances
• Always Encrypted support

PostgreSQL

• PostgreSQL 12+
• Amazon RDS PostgreSQL
• Azure Database for PostgreSQL
• Google Cloud SQL PostgreSQL

MySQL

• MySQL 5.7+
• MySQL 8.0
• Amazon RDS MySQL
• Azure Database for MySQL
• MariaDB compatibility

Features

Unified Interface

• Single API for all databases
• Consistent query syntax
• Standardized error handling
• Common feature set

Database Operations

• Execute SQL queries
• Parameterized queries
• Transaction management
• Stored procedure calls
• Batch operations

Schema Management

• Create and alter tables
• Index management
• Constraint handling
• View management
• Schema exploration

Data Operations

• CRUD operations
• Bulk insert/update
• Data export
• Data import
• Data validation

NPM Package

Available via npm for easy deployment:

npm install @executeautomation/mcp-database-server

Run with npx:

npx @executeautomation/mcp-database-server

Use Cases

• Multi-database application management
• Database migration between platforms
• Cross-database queries and analysis
• Development and testing
• Database administration
• Data integration
• Backup and recovery
• Performance analysis

Connection Management

Connection Strings

• SQLite: File path or :memory:
• SQL Server: Server, database, authentication
• PostgreSQL: Host, port, database, credentials
• MySQL: Host, port, database, credentials

Connection Pooling

• Efficient connection reuse
• Configurable pool size
• Connection timeout handling
• Automatic reconnection

Security

• Parameterized queries (SQL injection prevention)
• Encrypted connections (TLS/SSL)
• Credential encryption
• Role-based access
• Audit logging

Technical Implementation

Built with TypeScript and dedicated database drivers:

• better-sqlite3 for SQLite
• mssql for SQL Server
• pg for PostgreSQL
• mysql2 for MySQL/MariaDB

Integration

Compatible with Claude Desktop, Cursor, VS Code, and other MCP clients. Simple configuration with connection strings.

Performance

• Optimized query execution
• Connection pooling
• Query result caching
• Streaming for large results