Fast SQLite

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This project provides a robust solution for interacting with SQLite databases using natural language. It comprises an MCP server that exposes core database operations (like listing tables, getting schema, counting rows, and executing read-only queries) and a Chainlit-based client. The client leverages LangGraph and Large Language Models (LLMs) to allow users to ask questions about their database in plain English, which are then translated into server-side tool calls, making database management more accessible and intuitive.

Características Principales

• Chainlit-based client for natural language interaction via a web chat interface
• MCP server exposing SQLite database tools (list tables, get schema, count rows, execute queries)
• Secure read-only SQL execution with table name validation to prevent injection
• Utilizes LangGraph for agentic capabilities in the client to dynamically call server tools
• Supports multiple LLM providers (Anthropic by default, configurable for OpenAI and others)
• 0 GitHub stars

Casos de Uso

• Querying SQLite databases using natural language prompts
• Building conversational interfaces for database interactions
• Providing a secure, read-only API layer for SQLite data access