SQLite MCP Server

Name: SQLite MCP Server
Author: isaacgounton

@isaacgounton

リポジトリ

SQLite MCP Server について

概要はまだありません

#sqlite #database #mcp-server

基本情報

カテゴリ

データベース

ランタイム

node

トランスポート

stdio

公開者

isaacgounton

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is SQLite MCP Server?

SQLite MCP Server is a Model Context Protocol (MCP) server that provides SQLite database operations through a standardized interface. It supports in-memory and file-based storage, offering tools for SQL queries, table management, and business insights memo tracking.

How to use SQLite MCP Server?

Install dependencies and run locally with npm install and npm start, or deploy using Docker (docker build -t sqlite-mcp-server . && docker run -d ...) or Nixpacks. No environment variables are required by default; modify the database path in source code for file-based storage. Connect remote clients (e.g., n8n) via SSE at http://localhost:3000/sse with messages endpoint at http://localhost:3000/messages.

Key features of SQLite MCP Server

In-memory SQLite database (configurable for file-based storage)
SQL operations: SELECT, INSERT, UPDATE, DELETE
Table management: CREATE, LIST, DESCRIBE
Business insights memo tracking with append_insight tool
Docker support for easy deployment

Use cases of SQLite MCP Server

Quickly prototype or test SQL queries in an isolated environment
Manage database schemas (create, list, describe tables) via MCP tools
Append and track business insights as structured memos
Integrate a lightweight local database into AI-agent workflows

FAQ from SQLite MCP Server

What operations does SQLite MCP Server support?

It supports SELECT queries (read_query), data modifications (write_query), table creation (create_table), listing tables (list_tables), viewing schema (describe_table), and appending business insights (append_insight).

Is the database persistent?

By default the database runs in-memory, but you can modify the database path in src/index.ts to use file-based storage for persistence.

What runtime or dependencies are required?

Node.js and npm are needed for local development. Docker is supported for containerized deployment. No external services or environment variables are required by default.

How do I connect a remote client (e.g., n8n) to this server?

Connect via SSE: use the SSE URL http://localhost:3000/sse and the messages post endpoint http://localhost:3000/messages. No additional headers are required.