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SQLite MCP Server

@MCP-Mirror

Repository

Basic information

Category

Databases

License

MIT license

Transports

stdio

Author

MCP-Mirror

About SQLite MCP Server

Mirror of

SQLite MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "santos-404_mcp-server.sqlite": {
      "command": "docker",
      "args": [
        "build",
        "-t",
        "mcp/sqlite",
        "."
      ]
    }
  }
}

SQLite MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is SQLite MCP Server?

A Model Context Protocol (MCP) server implementation using TypeScript for interacting with an SQLite database. It provides an interactive interface for executing SQL queries, managing database schemas, and synthesizing business insights within an extensible protocol framework. It is aimed at developers and AI assistants that need structured database access.

How to use SQLite MCP Server?

Build the Docker image from the repository, then configure your AI client’s mcpServers JSON to run the container with command docker, arguments including mount volume and --db-path flag. After restarting the client, the MCP tools become available. On Windows you may need to manually kill the process for changes to take effect.

Key features of SQLite MCP Server

  • Supports SELECT queries via the read_query command
  • Enables database schema management through MCP tools
  • Runs inside a Docker container for easy deployment
  • Configurable database file path (--db-path flag)
  • Integrates with AI clients that support MCP (e.g., Claude Desktop)

Use cases of SQLite MCP Server

  • Allow an AI assistant to query a local SQLite database on demand
  • Enable interactive schema inspection and data analysis within a chat interface
  • Provide a sandboxed database environment for learning or prototyping SQL

Frequently asked questions

1

Is this an npm package?

No, it has not been published as an npm package; installation uses Docker.

2

What AI clients can I use?

Any MCP-compatible client; the tutorial demonstrates setup with Claude Desktop on Windows.

3

What are the system requirements?

Docker must be installed to build and run the server image.

4

Where is the database file stored?

A Docker volume (`mcp-test`) is mounted at `/mcp` inside the container, and the database file path is specified with `--db-path`.

5

What SQL operations are supported?

The README explicitly shows the `read_query` command for SELECT queries; other operations are not listed.

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