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SQLite MCP Server

MCP Server

Query SQLite databases via a structured AI protocol

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Updated May 15, 2025

About

The SQLite MCP Server is a TypeScript implementation that exposes an SQLite database to AI models through the Model Context Protocol. It allows executing SELECT queries, listing tables, and managing schemas in a Dockerized environment.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

SQLite MCP Server

Overview

The Mcp Server.Sqlite is a lightweight, TypeScript‑based Model Context Protocol (MCP) server that bridges AI assistants with an SQLite database. It exposes a set of high‑level commands—such as and —allowing an AI model to enumerate database tables, run arbitrary SELECT statements, and retrieve structured results without any custom code in the client. By packaging these interactions behind MCP’s standardized request/response format, developers can seamlessly integrate database access into conversational workflows.

This server addresses a common pain point for AI‑powered applications: data persistence and retrieval. Traditional chatbot frameworks often treat data as opaque or require manual API wrappers, making it difficult to perform real‑time queries on local datasets. With the SQLite MCP server, an assistant can ask questions like “Show me all users over 18” and receive a JSON‑encoded table directly, enabling richer data‑driven conversations.

Key capabilities include:

  • Schema introspection: lets the assistant discover available tables, supporting dynamic UI generation or query construction.
  • Query execution: accepts any valid SELECT statement, returning results in a structured format that the AI can interpret or present to users.
  • Extensibility: Built on MCP, it can be expanded with additional commands (e.g., INSERT, UPDATE) or wrapped in Docker for isolated deployment.

Typical use cases span from internal tooling—such as an analytics dashboard powered by a conversational interface—to educational demos where students can query a sample database through chat. The server’s Docker integration simplifies deployment in CI/CD pipelines or isolated environments, making it a practical choice for both prototyping and production scenarios.

By exposing database operations through MCP, the SQLite server transforms a static data store into an interactive partner for AI assistants. Developers benefit from reduced boilerplate, consistent error handling, and the ability to weave complex data queries directly into natural language conversations.