mcp-server
0
The Database Schema MCP Server is designed to interface with multiple database systems, providing tools to expose and read database schemas. It supports PostgreSQL, MySQL, and SQLite, offering features like table listing and schema details extraction.
Database Schema MCP Server
A powerful MCP server that provides tools to read and expose database schemas from various database types (PostgreSQL, MySQL, SQLite, etc.).
🌟 Features
- Connect to different types of databases
- List all tables in a database
- Get detailed schema information for specific tables
- Get complete database schema including tables, views, and indexes
- Support for multiple database types (PostgreSQL, MySQL, SQLite)
🚀 Installation
Prerequisites
- Python 3.x
- Virtual environment (recommended)
Basic Installation
- Create and activate a virtual environment:
# Create virtual environment
python -m venv venv
# Activate virtual environment
# On Unix/macOS:
source venv/bin/activate
# On Windows:
venv\Scripts\activate
- Install dependencies:
pip install -r requirements.txt
Windows MCP Installation
-
Install Node.js:
- Download and install from Node.js official website
- Verify installation by running
node --version
in PowerShell
-
Update System Path:
$env:Path = [System.Environment]::GetEnvironmentVariable("Path","Machine") + ";" + [System.Environment]::GetEnvironmentVariable("Path","User")
-
If Node.js is not recognized, manually add to Path:
- Press
Windows + R
- Type
sysdm.cpl
and press Enter - Go to "Advanced" tab
- Click "Environment Variables"
- Under "System variables", find and select "Path"
- Click "Edit"
- Add
C:\Program Files\nodejs\
if not present - Click "OK" on all windows
- Restart your computer
- Press
-
Install MCP:
- Download the
mcp-install.ps1
script - Unblock the file (right-click → Properties → Unblock)
- Open PowerShell as Administrator and run:
Set-ExecutionPolicy unrestricted
- Navigate to script location and run:
.\mcp-install.ps1 @modelcontextprotocol/server-postgres
- Exit Claude Desktop completely (check system tray)
- Configure server in
C:\Users\YOUR_USERNAME\AppData\Roaming\Claude\claude_desktop_config.json
- Copy MCP server config to
mcp.json
in Cursor - Restart Cursor
- Download the
MCP Configuration Example
Create a .cursor/mcp.json
file in your project root with the following structure:
{
"mcpServers": {
"local-db": {
"args": [
"C:\\Users\\YOUR_USERNAME\\AppData\\Roaming\\npm\\node_modules\\@modelcontextprotocol\\server-postgres\\dist\\index.js",
"database-url"
],
"command": "node"
},
"staging-db": {
"args": [
"C:\\Users\\YOUR_USERNAME\\AppData\\Roaming\\npm\\node_modules\\@modelcontextprotocol\\server-postgres\\dist\\index.js",
"database-url"
],
"command": "node"
},
"production-db": {
"args": [
"C:\\Users\\YOUR_USERNAME\\AppData\\Roaming\\npm\\node_modules\\@modelcontextprotocol\\server-postgres\\dist\\index.js",
"database-url"
],
"command": "node"
}
}
}
Replace YOUR_USERNAME
with your Windows username and ensure the paths match your Node.js module installation location.
💻 Usage
Starting the Server
python src/server.py
Available Tools
1. Connect to Database
config = {
"type": "postgresql", # or "mysql", "sqlite"
"host": "localhost",
"port": 5432,
"database": "mydb",
"username": "user",
"password": "password"
}
result = await connect_database(config)
2. List Tables
tables = await list_tables("postgresql://user:password@localhost:5432/mydb")
3. Get Table Schema
schema = await get_table_schema("postgresql://user:password@localhost:5432/mydb", "users")
4. Get Database Schema
schema = await get_database_schema("postgresql://user:password@localhost:5432/mydb")
📚 Example Usage with Claude
# Connect to a database
config = {
"type": "postgresql",
"host": "localhost",
"port": 5432,
"database": "mydb",
"username": "user",
"password": "password"
}
await connect_database(config)
# Get the complete schema
schema = await get_database_schema("postgresql://user:password@localhost:5432/mydb")
# Analyze the schema
print(f"Database has {len(schema['tables'])} tables")
for table_name, table_info in schema['tables'].items():
print(f"\nTable: {table_name}")
print(f"Columns: {len(table_info['columns'])}")
print(f"Primary Keys: {table_info['primary_keys']}")
print(f"Foreign Keys: {len(table_info['foreign_keys'])}")
🔒 Security Best Practices
- Never expose sensitive database credentials in client-side code
- Use environment variables or secure configuration management for credentials
- Implement proper access controls and authentication
- Use SSL/TLS for database connections when possible