mcp-server-sqlite
A comprehensive Model Context Protocol (MCP) server for SQLite database operations. This server enables AI assistants to interact with SQLite databases through a standardized interface.
README
SQLite MCP Server
A comprehensive Model Context Protocol (MCP) server for SQLite database operations. This server enables AI assistants to interact with SQLite databases through a standardized interface, providing safe and efficient database operations.
Features
š Resources
- Database Schema: View complete database schema with all tables and structures
- Tables List: Get a list of all tables in the database
- Table Info: Detailed information about specific tables including columns, indexes, and foreign keys
š ļø Tools
- query: Execute read-only SQL queries (SELECT statements)
- execute: Execute write operations (INSERT, UPDATE, DELETE, CREATE, DROP)
- create-table: Create new tables with column definitions and constraints
- drop-table: Remove tables from the database
- describe-table: Get detailed table structure information
- list-tables: List all tables in the database
- insert-record: Insert new records with data validation
- update-record: Update existing records with WHERE conditions
- delete-record: Delete records with WHERE conditions
- transaction: Execute multiple SQL statements atomically
š¬ Prompts
- analyze-schema: Generate comprehensive database schema analysis
- generate-query: Help create SQL queries based on natural language requirements
- optimize-query: Get optimization suggestions for existing SQL queries
Installation
Option 1: Install from npm (Recommended)
Install globally:
npm install -g mcp-server-sqlite
Or use with npx (no installation required):
npx mcp-server-sqlite --help
Option 2: Local Development with npm link
For local development and testing:
- Clone this repository:
git clone https://github.com/madnh/mcp-server-sqlite.git
cd mcp-server-sqlite
- Install dependencies and build:
npm install
npm run build
- Link globally for development:
npm link
- Now you can use the command globally:
mcp-server-sqlite --db ./database.db
mcp-server-sqlite --help
- To unlink when done developing:
npm unlink -g mcp-server-sqlite
Option 3: From Source (Development Mode)
- Follow steps 1-2 from Option 2
- Run directly with:
npm run dev # Development mode
npm run build && npm start # Production mode
Usage
Basic Usage
Via npm/npx (Recommended)
# Basic usage (creates database.db if not exists)
npx mcp-server-sqlite
# Specify database path
npx mcp-server-sqlite --db ./my-database.db
# Using long form
npx mcp-server-sqlite --database /path/to/production.db
# Get help
npx mcp-server-sqlite --help
# Check version
npx mcp-server-sqlite --version
Via environment variable
export SQLITE_DB_PATH=./my-database.db
npx mcp-server-sqlite
Development mode (from source)
npm run dev
Production mode (from source)
npm run build
npm start
Environment Configuration
Create a .env file based on .env.example:
cp .env.example .env
Configure your database path:
SQLITE_DB_PATH=./your-database.db
Example Database Setup
Create a sample database with test data:
node examples/setup-database.js
This creates example.db with sample tables and data for testing.
With Claude Desktop
Option 1: Using npx (Recommended)
Add to your Claude Desktop configuration (claude_desktop_config.json):
{
"mcpServers": {
"sqlite": {
"command": "npx",
"args": ["mcp-server-sqlite", "--db", "/path/to/your/database.db"]
}
}
}
Option 2: Using global installation
If you installed globally with npm install -g mcp-server-sqlite:
{
"mcpServers": {
"sqlite": {
"command": "mcp-server-sqlite",
"args": ["--database", "/path/to/your/database.db"]
}
}
}
Option 3: Using environment variables
{
"mcpServers": {
"sqlite": {
"command": "npx",
"args": ["mcp-server-sqlite"],
"env": {
"SQLITE_DB_PATH": "/path/to/your/database.db"
}
}
}
}
Option 4: From source (development)
{
"mcpServers": {
"sqlite": {
"command": "node",
"args": ["/path/to/mcp-server-sqlite/dist/cli.js"],
"env": {
"SQLITE_DB_PATH": "/path/to/your/database.db"
}
}
}
}
API Reference
Resources
schema://database
Returns the complete database schema including all tables and their SQL definitions.
tables://list
Returns a JSON list of all table names in the database.
table-info://{tableName}
Returns detailed information about a specific table including:
- Column definitions
- Indexes
- Foreign key constraints
Tools
query
Execute read-only SQL queries.
{
sql: string; // SELECT query to execute
}
execute
Execute write operations.
{
sql: string; // INSERT, UPDATE, DELETE, CREATE, or DROP statement
}
create-table
Create a new table with structured column definitions.
{
name: string,
columns: Array<{
name: string,
type: string, // TEXT, INTEGER, REAL, BLOB
primaryKey?: boolean,
notNull?: boolean,
unique?: boolean,
defaultValue?: string
}>,
ifNotExists?: boolean
}
insert-record
Insert a new record into a table.
{
table: string,
data: Record<string, any> // Column-value pairs
}
update-record
Update existing records.
{
table: string,
data: Record<string, any>, // Column-value pairs to update
where: string // WHERE clause
}
delete-record
Delete records from a table.
{
table: string,
where: string // WHERE clause
}
transaction
Execute multiple statements atomically.
{
statements: string[] // Array of SQL statements
}
Prompts
analyze-schema
Generate comprehensive database analysis.
{
includeData?: boolean // Include sample data in analysis
}
generate-query
Generate SQL queries from natural language requirements.
{
requirement: string, // What you want to query
tables?: string[] // Specific tables to focus on
}
optimize-query
Get query optimization suggestions.
{
query: string, // SQL query to optimize
executionContext?: string // Additional context
}
Database Features
Safety & Security
- SQL Injection Protection: Uses parameterized queries
- Query Validation: Validates SQL statements before execution
- Read/Write Separation: Separate tools for read-only vs write operations
- Transaction Support: Atomic execution of multiple statements
Performance Optimizations
- Connection Pooling: Efficient database connection management
- WAL Mode: Write-Ahead Logging for better performance
- Prepared Statements: Cached and optimized query execution
- Memory Optimization: Configured for optimal memory usage
Supported SQLite Features
- All standard SQL data types (TEXT, INTEGER, REAL, BLOB)
- Primary keys, foreign keys, unique constraints
- Indexes and query optimization
- Views and complex queries
- Transactions and ACID compliance
- PRAGMA statements for configuration
Examples
Query Data
SELECT u.username, COUNT(o.id) as order_count, SUM(o.total_amount) as total_spent
FROM users u
LEFT JOIN orders o ON u.id = o.user_id
GROUP BY u.id, u.username
ORDER BY total_spent DESC;
Create Table
{
"name": "customers",
"columns": [
{"name": "id", "type": "INTEGER", "primaryKey": true},
{"name": "name", "type": "TEXT", "notNull": true},
{"name": "email", "type": "TEXT", "unique": true},
{"name": "created_at", "type": "DATETIME", "defaultValue": "CURRENT_TIMESTAMP"}
]
}
Insert Record
{
"table": "customers",
"data": {
"name": "John Doe",
"email": "john@example.com"
}
}
Transaction
{
"statements": [
"BEGIN TRANSACTION",
"INSERT INTO orders (user_id, total_amount) VALUES (1, 99.99)",
"INSERT INTO order_items (order_id, product_id, quantity, price) VALUES (last_insert_rowid(), 1, 2, 49.99)",
"UPDATE products SET stock_quantity = stock_quantity - 2 WHERE id = 1",
"COMMIT"
]
}
Development
Local Development with npm link
The recommended way to develop and test locally:
# Setup for development
npm install
npm run build
npm link
# Now test your changes globally
mcp-server-sqlite --db ./example.db
# After making changes, rebuild and test
npm run build
mcp-server-sqlite --version
# Clean up when done
npm unlink -g mcp-server-sqlite
Scripts
npm run build: Build TypeScript to JavaScriptnpm run dev: Run in development mode with auto-reloadnpm start: Run the compiled servernpm run stdio: Run server with stdio transportnpm link: Link package globally for development testingnpm pack --dry-run: Preview what will be published
Project Structure
mcp-server-sqlite/
āāā src/
ā āāā index.ts # Main server implementation
āāā examples/
ā āāā sample-data.sql # Sample database schema and data
ā āāā setup-database.js # Database setup script
āāā dist/ # Compiled JavaScript (after build)
āāā package.json
āāā tsconfig.json
āāā README.md
āāā .env.example
Error Handling
The server provides comprehensive error handling:
- SQL Syntax Errors: Clear error messages for malformed queries
- Constraint Violations: Detailed information about constraint failures
- Connection Issues: Graceful handling of database connection problems
- Permission Errors: Safe handling of unauthorized operations
Limitations
- File System Access: Server can only access databases in allowed paths
- Resource Limits: Large result sets may be truncated for performance
- Concurrent Access: Uses SQLite's built-in locking mechanisms
- Schema Changes: Some DDL operations may require server restart
Contributing
- Fork the repository
- Create a feature branch
- Make your changes
- Add tests if applicable
- Submit a pull request
License
MIT License - see LICENSE file for details.
Support
For issues and questions:
- Check the examples/ directory for usage patterns
- Review the SQLite documentation for SQL syntax
- Open an issue on the project repository
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