MCP ExplorerExplorer

Mcp Sqlite Bun Server

@jacksteamdevon a year ago
15 MIT
FreeCommunity
AI Systems
A server for database interaction and business insights using SQLite.

Overview

What is Mcp Sqlite Bun Server

mcp-sqlite-bun-server is a Model Context Protocol (MCP) server that facilitates database interaction and business intelligence using SQLite. It allows users to run SQL queries, analyze business data, and automatically generate business insight memos.

Use cases

Use cases include generating business reports, analyzing customer data, automating insights for decision-making, and providing interactive database operations for users.

How to use

To use mcp-sqlite-bun-server, first install Bun, then clone the repository and install dependencies using ‘bun install’. Finally, run the setup script with ‘bun run setup’ to configure the server.

Key features

Key features include the ability to execute SQL queries (SELECT, INSERT, UPDATE, DELETE), a dynamic resource for business insights, an interactive demo prompt for user guidance, and automatic updates of insights during analysis.

Where to use

mcp-sqlite-bun-server can be used in various fields such as data analysis, business intelligence, and any application requiring database interaction and insights generation.

Content

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.

Tools

No tools

Comments

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