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SQLite MCP Server

SQLite MCP Server

Local
github.com/jacksteamdevDatabases19Updated 83w ago

About SQLite MCP Server

SQLite MCP Server is an MCP server for SQLite that provides SQL query tools, schema inspection and an auto-updated business insights memo. It is aimed at users who want to analyze local database data through Claude Desktop and runs on Bun.

Key features

  1. 01SELECT, INSERT, UPDATE and DELETE query execution
  2. 02Table creation and schema inspection
  3. 03Business insights memo exposed as a resource
  4. 04mcp-demo prompt for guided database analysis

Use cases

  1. 01Analyzing local SQLite business data with an AI assistant
  2. 02Recording analysis findings in a continuously updated insights memo

MCP support

The project is an MCP server that exposes database query and schema tools, an insights memo resource and a demonstration prompt to MCP clients.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

SQLite MCP Server

Overview

A Model Context Protocol (MCP) server implementation that provides database interaction and business intelligence capabilities through SQLite. This server enables running SQL queries, analyzing business data, and automatically generating business insight memos.

SQLite Server MCP server

Installation

  1. Install Bun if you haven't already
  2. Clone this repository
  3. Install dependencies:
    bun install
    
  4. Run the setup script to configure the server in Claude Desktop:
    bun run setup
    

The setup script will automatically add the server configuration to your Claude Desktop config file, located at:

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

Components

Resources

The server exposes a single dynamic resource:

  • memo://insights: A continuously updated business insights memo that aggregates discovered insights during analysis
    • Auto-updates as new insights are discovered via the append-insight tool
Prompts

The server provides a demonstration prompt:

  • mcp-demo: Interactive prompt that guides users through database operations
    • Required argument: topic - The business domain to analyze
    • Generates appropriate database schemas and sample data
    • Guides users through analysis and insight generation
    • Integrates with the business insights memo
Tools

The server offers six core tools:

Query Tools
  • read-query

    • Execute SELECT queries to read data from the database
    • Input:
      • query (string): The SELECT SQL query to execute
    • Returns: Query results as array of objects
  • write-query

    • Execute INSERT, UPDATE, or DELETE queries
    • Input:
      • query (string): The SQL modification query
    • Returns: { affected_rows: number }
  • create-table

    • Create new tables in the database
    • Input:
      • query (string): CREATE TABLE SQL statement
    • Returns: Confirmation of table creation
Schema Tools
  • list-tables

    • Get a list of all tables in the database
    • No input required
    • Returns: Array of table names
  • describe-table

    • View schema information for a specific table
    • Input:
      • table_name (string): Name of table to describe
    • Returns: Array of column definitions with names and types
Analysis Tools
  • append-insight
    • Add new business insights to the memo resource
    • Input:
      • insight (string): Business insight discovered from data analysis
    • Returns: Confirmation of insight addition
    • Triggers update of memo://insights resource

Development

Project Structure
  • src/index.ts: Main server implementation
  • src/logger.ts: Logging utility
  • scripts/setup.ts: Claude Desktop configuration script
Logging

The server maintains detailed logs in:

  • server.log: Located in the project root directory
  • Logs include timestamps, log levels (DEBUG, INFO, WARN, ERROR, FATAL), and structured metadata
Database

The SQLite database file is created at:

  • data.sqlite: Located in the project root directory
  • Created automatically if it doesn't exist
Available Scripts
  • bun run setup: Configure the server in Claude Desktop
  • bun run lint: Run ESLint checks
  • bun run lint:fix: Fix ESLint issues automatically
  • bun run inspect: Run the MCP inspector

License

This MCP server is licensed under the MIT License. See the LICENSE file for details.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.