mcp_sqlite_poc
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A Model Context Protocol (MCP) server implementation for SQLite databases, allowing AI models to interact with SQLite databases through standardized tools.
The SQLite MCP Server is designed to facilitate interaction between AI models and SQLite databases using the Model Context Protocol. It provides a standardized interface for executing SQL queries, discovering database schemas, counting rows, and inserting sample data. The server can automatically initialize a sample database if none exists, featuring tables for products, customers, orders, and feedback. It also supports a read-only mode to ensure data safety in production environments. The server is easy to set up and configure, requiring Python 3.8+ and a few dependencies. It can be integrated with platforms like Claude Desktop for enhanced functionality.
Features
- Query Execution: Execute SQL queries with built-in validation and safety checks
- Schema Discovery: List tables and describe table schemas
- Row Counting: Count rows in specified tables
- Sample Data: Insert sample data for demonstration purposes (when not in read-only mode)
- Automatic Initialization: Creates a sample database with products, customers, orders, and feedback if none exists
