SQLite MCP Server

Name: SQLite MCP Server
Author: isaacgounton

@isaacgounton

代码仓库

关于 SQLite MCP Server

暂无概览

#sqlite #database #mcp-server

基本信息

分类

数据库

运行时

node

传输方式

stdio

发布者

isaacgounton

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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.