SQLite MCP Server

{
  "mcpServers": {
    "sqlite": {
      "command": "docker",
      "args": [
        "run",
        "--rm",
        "-i",
        "-v",
        "mcp-test:/mcp",
        "mcp/sqlite",
        "--db-path",
        "/mcp/test.db"
      ]
    }
  }
}

Overview

The SQLite MCP Server provides a powerful bridge between AI models and SQLite databases through the Model Context Protocol (MCP). This integration enables AI assistants to perform sophisticated database operations without requiring users to write complex code.

The SQLite MCP Server empowers AI models to:

• Query and manipulate data: Execute SQL queries to read, insert, update, and delete records in SQLite databases
• Perform data analysis: Run complex queries with joins, aggregations, and filtering to extract meaningful insights
• Optimize performance: Create and manage indexes for efficient data retrieval

This integration allows AI assistants to function as intelligent database interfaces, helping users manage their data without requiring deep SQL knowledge while maintaining the full power and flexibility of a relational database system. ¹

Tools

Sources