General-Purpose MCP Database Server
Provides LLMs with full PostgreSQL database access, including tools for query execution, schema management, and data export. It also features a dedicated insights system for storing business memos and supports both local stdio and remote HTTP transport.
README
General-Purpose MCP Database Server (Python)
A Model Context Protocol (MCP) server that provides LLMs with generic database access capabilities for PostgreSQL databases. Built with Python and FastMCP.
Features
- Query Tools: Execute SELECT queries, write operations (INSERT/UPDATE/DELETE), and export data
- Schema Management: Create, alter, and drop tables, list tables, describe table schemas
- Insights: Store and retrieve business insights in a dedicated memo table
- Connection Pooling: Efficient database connection management
- Docker Support: Easy containerized deployment
- Flexible Configuration: Support for DATABASE_URL or individual connection parameters
- Multiple Transport Modes: stdio (local) or SSE (HTTP for remote deployment)
Installation
Local Development
- Clone or navigate to the repository:
cd general-database-mcp-python
- Create a virtual environment:
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
- Install dependencies:
pip install -r requirements.txt
- Configure environment variables:
cp .env.example .env
# Edit .env with your database credentials
- Run the server:
python main.py
Docker Deployment
- Build the Docker image:
docker build -t general-database-mcp .
- Run the container:
docker run -p 8008:8008 \
-e DATABASE_URL="postgresql://user:password@host:5432/database" \
-e MCP_TRANSPORT=http \
general-database-mcp
Configuration
Environment Variables
Database Configuration (choose one option):
Option 1: DATABASE_URL (recommended)
DATABASE_URL=postgresql://user:password@host:5432/database
Option 2: Individual parameters
DB_HOST=localhost
DB_PORT=5432
DB_NAME=your_database
DB_USER=your_username
DB_PASSWORD=your_password
Server Configuration:
PORT=8008
MCP_TRANSPORT=stdio # Options: stdio (local) or http (remote)
API_KEY=your_secret_key # Optional: for authentication
Available Tools
Query Tools
read_query
Execute SELECT queries to read data from the database.
- Parameters:
query(string) - SQL SELECT statement - Returns: Query results as JSON
write_query
Execute INSERT, UPDATE, or DELETE queries to modify data.
- Parameters:
query(string) - SQL modification statement - Returns: Number of affected rows
export_query
Execute a SELECT query and export results in CSV or JSON format.
- Parameters:
query(string) - SQL SELECT statementformat(string) - "csv" or "json" (default: "json")
- Returns: Formatted query results
Schema Management Tools
create_table
Create new tables in the database.
- Parameters:
query(string) - CREATE TABLE statement - Returns: Success status
alter_table
Modify existing table schema (add columns, rename, etc.).
- Parameters:
query(string) - ALTER TABLE statement - Returns: Success status
drop_table
Remove a table from the database with safety confirmation.
- Parameters:
table_name(string) - Name of table to dropconfirm(boolean) - Must be True to proceed
- Returns: Success status
list_tables
Get a list of all tables in the database.
- Parameters: None
- Returns: Array of table names
describe_table
View schema information for a specific table.
- Parameters:
table_name(string) - Name of table - Returns: Column definitions with types, constraints, etc.
Insights Tools
append_insight
Add a business insight to the memo table.
- Parameters:
insight(string) - Text of the insight - Returns: Success status
list_insights
List all business insights stored in the memo table.
- Parameters: None
- Returns: Array of insights with timestamps
Monitoring
health_check
Health check endpoint for monitoring and deployment verification.
- Parameters: None
- Returns: Server status and database connection info
Usage Examples
Using with Claude Desktop
Add to your Claude Desktop configuration file:
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
Linux: ~/.config/Claude/claude_desktop_config.json
{
"mcpServers": {
"database": {
"command": "python",
"args": [
"/absolute/path/to/general-database-mcp-python/main.py"
],
"env": {
"DATABASE_URL": "postgresql://user:password@localhost:5432/mydb"
}
}
}
}
Example Prompts for Claude
Query data:
Show me all tables in the database.
Describe the structure of the users table.
Select all records from the products table where price > 100.
Modify data:
Insert a new user with name 'John Doe' and email 'john@example.com'.
Update all products in the 'Electronics' category to increase price by 10%.
Delete all orders older than 2 years.
Schema operations:
Create a new table called 'logs' with columns for id, timestamp, and message.
Add a 'created_at' column to the users table.
Drop the temporary_data table (confirm=True).
Export data:
Export all customer data as CSV.
Export sales summary as JSON.
Business insights:
Add an insight: "Sales increased 25% in Q4 due to holiday promotions"
Show me all stored insights.
Architecture
general-database-mcp-python/
├── main.py # FastMCP server entry point
├── db/
│ ├── __init__.py
│ └── postgres_adapter.py # PostgreSQL adapter with connection pooling
├── tools/
│ ├── __init__.py
│ ├── query_tools.py # Query execution tools
│ ├── schema_tools.py # DDL operation tools
│ └── insights_tools.py # Business insights tools
└── utils/
├── __init__.py
└── format_utils.py # Response formatting and CSV conversion
Development
Running Tests
# TODO: Add test suite
python -m pytest tests/
Security Considerations
- Never expose database credentials in your conversations with Claude
- Use environment variables for sensitive configuration
- Enable API_KEY for production deployments
- Review SQL queries generated by the LLM before execution in production
- Use read-only database users when only SELECT access is needed
License
MIT License - See LICENSE file for details
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
Support
For issues, questions, or contributions, please open an issue on the repository.
Version
Current Version: 1.0.0
Acknowledgments
- Built with FastMCP framework
- Inspired by general-database-mcp
- Part of the Model Context Protocol ecosystem
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