MCP Database Server v2.0 - Evolution to Comprehensive Database Management Platform

servers/database-server/readme.md

@@ -1,132 +1,260 @@
-# MCP Database Server
+# MCP Database Server - Comprehensive Database Management Platform
 
-Comprehensive database server supporting PostgreSQL, MySQL, and SQLite with natural language SQL query capabilities. Enables AI agents to interact with databases through both direct SQL and natural language queries.
+Professional-grade database server supporting PostgreSQL, MySQL, and SQLite with complete CRUD operations and natural language SQL capabilities. Designed for AI agents requiring full database lifecycle management.
 
-## Features
+## Core Features
 
-- **Multi-Database Support**: Works with SQLite, PostgreSQL, and MySQL
-- **Natural Language Queries**: Convert natural language to SQL automatically
-- **Direct SQL Execution**: Execute raw SQL with safety checks
-- **Schema Inspection**: List tables and describe table structures
-- **FastAPI Web Interface**: RESTful API endpoints for web integration
-- **Docker Ready**: Fully containerized with health checks
+### 🔍 **Query & Analysis**
+
+- **Natural Language Processing**: Convert plain English to optimized SQL
+- **Advanced Querying**: Complex joins, aggregations, and data analysis
+- **Schema Inspection**: Complete database structure examination
+- **Multi-Database Support**: SQLite, PostgreSQL, MySQL compatibility
+
+### 🛠️ **Database Management**
+
+- **Schema Operations**: Create, modify, and manage table structures
+- **Data Manipulation**: Insert, update, and delete operations with safeguards
+- **Connection Management**: Dynamic database switching and configuration
+- **Health Monitoring**: Comprehensive status reporting and diagnostics
+
+### 🔒 **Safety & Professional Standards**
+
+- **Operation Warnings**: Clear notifications for destructive operations
+- **Error Handling**: Detailed error reporting and recovery guidance
+- **Success Confirmation**: Comprehensive feedback with affected row counts
+- **Validation**: Input validation and query safety checks
 
 ## Available MCP Tools
 
-### `query_database`
-**Description**: Execute natural language queries against the database and convert them to SQL
+### Core Query Operations
+
+#### `query_database`
+
+Transform natural language into SQL and execute queries safely.
+
+- **Input**: Natural language question
+- **Example**: "Show me all users who registered this month"
+- **Output**: Structured query results with metadata
+
+#### `list_tables`
+
+Discover all available tables in the connected database.
+
+- **Usage**: Database exploration and structure analysis
+- **Output**: Complete table listing with metadata
+
+#### `describe_table`
+
+Get comprehensive schema information for any table.
+
+- **Input**: Table name
+- **Output**: Columns, types, constraints, indexes, and relationships
+
+#### `execute_sql`
 
-**Usage**: Ask questions like "Show me all users created in the last week" or "Find the top 10 products by sales"
+Execute SELECT queries with built-in safety validation.
 
-**Arguments**:
-- `query` (string): Natural language description of what you want to query from the database
+- **Input**: SQL SELECT statement
+- **Safety**: Restricted to read-only operations
+- **Output**: Query results with execution metadata
 
-### `list_tables`
-**Description**: List all available tables in the current database
+### Connection Management
 
-**Usage**: Ask "What tables are available?" or "Show me the database structure"
+#### `connect_to_database`
 
-### `describe_table`
-**Description**: Get detailed schema information for a specific table including columns, types, and constraints
+Switch between different databases dynamically.
 
-**Usage**: Ask "Describe the users table" or "What columns does the products table have?"
+- **Input**: Database connection string
+- **Support**: SQLite, PostgreSQL, MySQL
+- **Output**: Connection status and database information
 
-**Arguments**:
-- `table_name` (string): Name of the table to describe
+#### `get_connection_examples`
 
-### `execute_sql`
-**Description**: Execute raw SQL queries with safety checks and validation
+Retrieve properly formatted connection strings for all supported databases.
 
-**Usage**: Execute specific SQL commands when you need precise control
+- **Output**: Template connection strings with explanations
+- **Databases**: SQLite, PostgreSQL, MySQL examples
 
-**Arguments**:
-- `query` (string): SQL query to execute
+#### `get_current_database_info`
 
-### `connect_to_database`
-**Description**: Connect to a new database using provided connection details
+Get detailed information about the active database connection.
 
-**Usage**: Switch between different databases during your session
+- **Output**: Database type, version, connection status, and capabilities
 
-**Arguments**:
-- `connection_string` (string): Database connection string
+### Advanced Database Operations
 
-### `get_connection_examples`
-**Description**: Get example connection strings for different database types (SQLite, PostgreSQL, MySQL)
+#### `execute_unsafe_sql`
 
-**Usage**: Ask "How do I connect to a PostgreSQL database?" or "Show me connection examples"
+Execute any SQL operation including DDL and DML commands.
 
-### `get_current_database_info`
-**Description**: Get information about the currently connected database including type, version, and connection status
+- **Input**: Any SQL statement (CREATE, INSERT, UPDATE, DELETE, DROP)
+- **Warning**: Clear notification of potential data modification
+- **Output**: Execution results with affected row counts
+- **Use Cases**: Schema migrations, bulk operations, administrative tasks
 
-**Usage**: Ask "What database am I connected to?" or "Show me current connection details"
+#### `create_table`
 
-## Example Queries
+Create new tables with custom schema definitions.
 
-Here are some example questions you can ask your agent:
+- **Inputs**: Table name, column definitions
+- **Validation**: Schema validation and conflict checking
+- **Output**: Creation confirmation and table structure
+
+#### `insert_data`
+
+Add new records to existing tables.
+
+- **Inputs**: Table name, columns, values
+- **Validation**: Data type checking and constraint validation
+- **Output**: Insertion confirmation with row count
+
+#### `update_data`
+
+Modify existing records with conditional updates.
+
+- **Inputs**: Table name, SET clause, WHERE condition
+- **Safety**: Requires WHERE clause for targeted updates
+- **Output**: Update confirmation with affected row count
+
+#### `delete_data`
+
+Remove records from tables with safety confirmations.
+
+- **Inputs**: Table name, WHERE condition
+- **Safety**: Clear warnings for destructive operations
+- **Output**: Deletion confirmation with affected row count
+
+## Usage Examples
+
+### Basic Query Operations
 
 ```python
-# Basic queries
-"Show me all users in the database"
-"What tables are available?"
-"Describe the products table structure"
-
-# Complex analysis
-"Find the top 5 customers by total order value"
-"Show me users who registered in the last month"
-"What's the average product price by category?"
-
-# Data exploration
-"How many orders were placed yesterday?"
-"List all products that are out of stock"
-"Find duplicate email addresses in the users table"
+# Natural language querying
+"Show me the top 10 customers by total purchase amount"
+"Find all products that are currently out of stock"
+"List users who haven't logged in for 30 days"
+
+# Schema exploration
+"What tables are available in this database?"
+"Describe the structure of the orders table"
+"Show me the current database connection details"
 ```
 
-## Configuration
+### Database Administration
+
+```python
+# Table creation
+create_table("user_sessions", "id INTEGER PRIMARY KEY, user_id INTEGER, session_token TEXT, created_at TIMESTAMP")
 
-The server requires a `DATABASE_URL` environment variable with your database connection string:
+# Data manipulation
+insert_data("products", "name, price, category", "'Premium Widget', 99.99, 'Electronics'")
+update_data("inventory", "quantity = quantity - 1", "product_id = 12345")
+delete_data("expired_sessions", "created_at < '2023-01-01'")
 
-### SQLite (recommended for testing)
+# Advanced operations
+execute_unsafe_sql("CREATE INDEX idx_user_email ON users(email)")
 ```
+
+## Configuration
+
+### Database Connection
+
+Set the `DATABASE_URL` environment variable with your database connection string:
+
+#### SQLite (Recommended for Development)
+
+```bash
 DATABASE_URL=sqlite+aiosqlite:///data/mydb.db
 ```
 
-### PostgreSQL
-```
-DATABASE_URL=postgresql+asyncpg://user:password@localhost:5432/mydb
-```
+#### PostgreSQL (Production Ready)
 
-### MySQL
+```bash
+DATABASE_URL=postgresql+asyncpg://username:password@localhost:5432/database_name
 ```
-DATABASE_URL=mysql+aiomysql://user:password@localhost:3306/mydb
+
+#### MySQL (Enterprise Support)
+
+```bash
+DATABASE_URL=mysql+aiomysql://username:password@localhost:3306/database_name
 ```
 
-## Docker Usage
+## Docker Deployment
+
+### Quick Start
 
 ```bash
-# Run with SQLite (simplest setup)
+# Development with SQLite
 docker run -d \
   -p 3000:3000 \
   -e DATABASE_URL=sqlite+aiosqlite:///data/mydb.db \
-  souhardyak/mcp-db-server
+  souhardyak/mcp-db-server:latest
 
-# Run with PostgreSQL
+# Production with PostgreSQL
 docker run -d \
   -p 3000:3000 \
-  -e DATABASE_URL=postgresql+asyncpg://user:password@host:5432/db \
-  souhardyak/mcp-db-server
+  -e DATABASE_URL=postgresql+asyncpg://user:pass@db-host:5432/db \
+  souhardyak/mcp-db-server:latest
+```
+
+### Persistent Storage
 
-# Run with persistent SQLite storage
+```bash
+# SQLite with persistent data
 docker run -d \
   -p 3000:3000 \
   -v /host/data:/data \
   -e DATABASE_URL=sqlite+aiosqlite:///data/mydb.db \
-  souhardyak/mcp-db-server
+  souhardyak/mcp-db-server:latest
 ```
 
-## Health Check
+## Health Monitoring
+
+The server provides comprehensive health endpoints:
+
+- **Endpoint**: `GET /health`
+- **Response**: Database connectivity, version info, and operational status
+- **Monitoring**: Ready for production health checks and monitoring systems
+
+## Architecture & Performance
+
+### Technical Stack
+
+- **Framework**: FastAPI for high-performance API endpoints
+- **Database Drivers**:
+  - `asyncpg` for PostgreSQL (high performance)
+  - `aiomysql` for MySQL (async support)
+  - `aiosqlite` for SQLite (lightweight development)
+- **AI Processing**: Advanced natural language to SQL conversion
+- **Containerization**: Optimized Docker image for production deployment
+
+### Scalability
+
+- **Async Architecture**: Non-blocking database operations
+- **Connection Pooling**: Efficient database connection management
+- **Multi-Database**: Simultaneous support for multiple database types
+- **Resource Optimization**: Minimal memory footprint and fast response times
+
+## Security & Best Practices
+
+### Operation Safety
+
+- **Query Validation**: SQL injection prevention and input sanitization
+- **Operation Warnings**: Clear notifications for destructive operations
+- **Error Handling**: Comprehensive error reporting without exposing sensitive data
+- **Access Control**: Environment-based database access configuration
+
+### Production Deployment
 
-The server provides a health endpoint at `/health` that returns database connectivity status.
+- **Docker Security**: Non-root container execution
+- **Environment Variables**: Secure configuration management
+- **Health Monitoring**: Production-ready monitoring and alerting
+- **Documentation**: Complete deployment and operational guides
 
-## Source Code
+## Source Code & Support
 
-Full source code and documentation available at: https://github.com/Souhar-dya/mcp-db-server
+**Repository**: [https://github.com/Souhar-dya/mcp-db-server](https://github.com/Souhar-dya/mcp-db-server)  
+**Docker Image**: `souhardyak/mcp-db-server:latest`  
+**Documentation**: Complete API documentation and deployment guides  
+**Support**: GitHub Issues and comprehensive documentation