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MCP Database Server

作者:Souhar-dya版本 1.3.1i★ –i在你的电脑上运行
注册名称io.github.Souhar-dya/mcp-db-server

安装

概览

作者提供的说明(英文原文)

MCP server for SQLite, PostgreSQL, and MySQL with natural language to SQL and direct SQL tooling.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 数据库与数据集

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

你需要

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "db": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "DATABASE_URL",
        "docker.io/souhardyak/mcp-db-server:1.3.1"
      ],
      "env": {
        "DATABASE_URL": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add db --env DATABASE_URL=your-value -- docker run -i --rm -e DATABASE_URL docker.io/souhardyak/mcp-db-server:1.3.1

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "db": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "DATABASE_URL",
        "docker.io/souhardyak/mcp-db-server:1.3.1"
      ],
      "env": {
        "DATABASE_URL": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "db": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "DATABASE_URL",
        "docker.io/souhardyak/mcp-db-server:1.3.1"
      ],
      "env": {
        "DATABASE_URL": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • DATABASE_URL env
    Database connection URL. Defaults to local SQLite in /data/default.db.

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 Souhar-dya 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“数据库与数据集”中的其他服务器比较i

  • 星标数多于此分类中其他 1137 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 1137 个服务器的 9% 更新
  • 基础检查结果等于或优于此分类中其他 1137 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

MCP Database Server 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(1.3.1)于7个月前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Docker。

有什么可以替代它?

同一分类中有:Supabase, MongoDB MCP Server, Elasticsearch MCP Server

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Supabase

作者:supabase

MCP server for interacting with the Supabase platform

电脑或云端★ 2,993Apache-2.0昨天更新
安装

MongoDB MCP Server

作者:mongodb-js

MongoDB Model Context Protocol Server

在你的电脑上运行★ 1,157Apache-2.03天前更新
安装

MCP server for interacting with Elasticsearch

在你的电脑上运行★ 315Apache-2.014个月前更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

mcp-db-server

An MCP (Model Context Protocol) server that exposes relational databases (PostgreSQL/MySQL) to AI agents with natural language query support. Transform natural language questions into SQL queries and get structured results.

Features

  • Multi-Database Support: Works with PostgreSQL and MySQL
  • Natural Language to SQL: Convert plain English queries to SQL using HuggingFace transformers
  • RESTful API: Clean FastAPI-based endpoints for database operations
  • Safety First: Read-only operations with query validation and result limits
  • Docker Ready: Complete containerization with Docker Compose
  • Production Ready: Health checks, logging, and error handling
  • AI Agent Friendly: Designed specifically for AI agent integration

Version 1.4.0 Changes

  • Added mandatory X-API-Key authentication for all database HTTP endpoints; /health remains public for health checks.
  • Removed unrestricted credentialed CORS and made allowed origins explicitly configurable.
  • Changed the default HTTP bind address to 127.0.0.1.
  • Added table-name validation against existing database tables to block SQL injection through table routes.
  • Added PostgreSQL sslmode=require compatibility for asyncpg connections.
  • Updated Docker Compose, environment examples, and documentation for secure API-key configuration.
  • Published Docker images:
  • souhardyak/mcp-db-server:1.4.0
  • souhardyak/mcp-db-server:latest
  • Added GitHub Container Registry publishing for:
  • ghcr.io/souhar-dya/mcp-db-server:1.4.0
  • ghcr.io/souhar-dya/mcp-db-server:latest

API Endpoints

EndpointMethodDescription
/healthGETHealth check and service status
/mcp/list_tablesGETList all available tables with column counts
/mcp/describe/{table_name}GETGet detailed schema for a specific table
/mcp/queryPOSTExecute natural language queries
/mcp/tables/{table_name}/sampleGETGet sample data from a table

Quick Start

Option 1: Docker Compose (Recommended)
  1. Clone and start the services:
   git clone https://github.com/Souhar-dya/mcp-db-server.git

cd mcp-db-server export MCP_API_KEY="$(openssl rand -hex 32)" docker-compose up --build

  1. Test the endpoints:
   # Health check

curl http://localhost:8000/health

List tables (requires the configured API key)

curl -H "X-API-Key: $MCP_API_KEY" http://localhost:8000/mcp/list_tables

Describe a table

curl -H "X-API-Key: $MCP_API_KEY" http://localhost:8000/mcp/describe/customers

Natural language query

curl -X POST "http://localhost:8000/mcp/query" \ -H "X-API-Key: $MCP_API_KEY" \ -H "Content-Type: application/json" \ -d '{"nl_query": "show top 5 customers by total orders"}'

Option 2: Local Development
  1. Prerequisites:
  • Python 3.11+
  • PostgreSQL or MySQL database
  1. Install dependencies:
   pip install -r requirements.txt
  1. Set environment variables:
   export DATABASE_URL="postgresql+asyncpg://user:password@localhost:5432/dbname"

export MCP_API_KEY="$(openssl rand -hex 32)"

or for MySQL:

export DATABASE_URL="mysql+pymysql://user:password@localhost:3306/dbname"

  1. Run the server:
   python -m app.server

Sample Database

The project includes a sample database with realistic e-commerce data:

  • customers: Customer information (10 sample customers)
  • orders: Order records (17 sample orders)
  • order_items: Individual items within orders
  • order_summary: View combining order and customer data

Natural Language Query Examples

The server can understand various types of natural language queries:

# Get all customers

curl -X POST "http://localhost:8000/mcp/query" \ -H "Content-Type: application/json" \ -d '{"nl_query": "show all customers"}'

Count orders by status

curl -X POST "http://localhost:8000/mcp/query" \ -H "Content-Type: application/json" \ -d '{"nl_query": "count orders by status"}'

Top customers by order value

curl -X POST "http://localhost:8000/mcp/query" \ -H "Content-Type: application/json" \ -d '{"nl_query": "top 5 customers by total order amount"}'

Recent orders

curl -X POST "http://localhost:8000/mcp/query" \ -H "Content-Type: application/json" \ -d '{"nl_query": "show recent orders from last week"}'

Configuration

Environment Variables
VariableDescriptionDefault
DATABASE_URLFull database connection URLpostgresql+asyncpg://postgres:postgres@localhost:5432/postgres
DB_HOSTDatabase hostlocalhost
DB_PORTDatabase port5432
DB_USERDatabase usernamepostgres
DB_PASSWORDDatabase passwordpostgres
DB_NAMEDatabase namepostgres
HOSTServer host127.0.0.1
PORTServer port8000
MCP_API_KEYRequired API key for database HTTP routesNot set (API disabled)
CORS_ALLOW_ORIGINSComma-separated allowed browser originsEmpty (disabled)
Database Connection Examples
# PostgreSQL

DATABASE_URL=postgresql+asyncpg://user:pass@localhost:5432/mydb

MySQL

DATABASE_URL=mysql+pymysql://user:pass@localhost:3306/mydb

PostgreSQL with SSL

DATABASE_URL=postgresql+asyncpg://user:pass@localhost:5432/mydb?sslmode=require

Database Connection Examples
# PostgreSQL (local or cloud)

DATABASE_URL=postgresql+asyncpg://user:password@host:5432/dbname

MySQL (local or cloud)

DATABASE_URL=mysql+aiomysql://user:password@host:3306/dbname

PostgreSQL with SSL (cloud, e.g. Neon, Supabase, Aiven)

DATABASE_URL=postgresql+asyncpg://user:password@host:5432/dbname?sslmode=require

MySQL with SSL (cloud, e.g. Aiven, PlanetScale)

DATABASE_URL=mysql+aiomysql://user:password@host:3306/dbname?ssl-mode=REQUIRED

Note:

- For MySQL cloud providers, the ssl-mode parameter in the URL is ignored by the driver, but SSL is always enabled in the MCP server for cloud connections.

- For PostgreSQL, use sslmode=require for cloud DBs. For MySQL, just use the standard URL; SSL is handled automatically.

- If you see errors about ssl-mode or sslmode, check your URL and ensure you are using the correct driver prefix (mysql+aiomysql or postgresql+asyncpg).

Cloud Database Examples
# Neon (PostgreSQL)

DATABASE_URL=postgresql+asyncpg://username:password@ep-xxxxxx-pooler.us-east-2.aws.neon.tech/dbname

Aiven (MySQL)

DATABASE_URL=mysql+aiomysql://avnadmin:yourpassword@mysql-xxxxxx-username-xxxx.aivencloud.com:11079/defaultdb?ssl-mode=REQUIRED

Docker Usage with Cloud DB
docker run -d \

-p 8000:8000 \ -e DATABASE_URL=" " \ -e MCP_API_KEY=" " \ souhardyak/mcp-db-server:latest

GitHub Container Registry is also available:

docker login ghcr.io

docker pull ghcr.io/souhar-dya/mcp-db-server:latest docker run -d \ -p 8000:8000 \ -e DATABASE_URL=" " \ -e MCP_API_KEY="$MCP_API_KEY" \ ghcr.io/souhar-dya/mcp-db-server:latest

Images are published automatically when a v*.*.* tag is pushed. The workflow also creates the matching GitHub Release. To publish an existing tag such as v1.4.0, open the workflow's Run workflow action and enter 1.4.0. Set the GHCR package visibility to Public in the repository's Packages settings if unauthenticated pulls should be allowed.

Troubleshooting
  • If you get connect() got an unexpected keyword argument 'ssl-mode', ignore it: SSL is still enabled.
  • For network errors, check firewall and DB credentials.
  • For MySQL, always use mysql+aiomysql in the URL for async support.
PostgreSQL SSL connection note

For PostgreSQL cloud providers, use an asyncpg URL and sslmode=require:

DATABASE_URL=postgresql+asyncpg://user:password@host:5432/dbname?sslmode=require

The server normalizes sslmode=require to the ssl option expected by asyncpg. A temporary PostgreSQL verification was completed successfully against a compatible cloud database using CREATE, INSERT, SELECT, UPDATE, DELETE, and DROP; no test data was retained. Never commit or share a connection URL containing a real password.

API key authentication

MCP_API_KEY is a secret that you generate and provide to the server. It protects all database HTTP endpoints through the X-API-Key request header. The /health endpoint remains public for container health checks.

Generate a strong key on Linux or macOS:

export MCP_API_KEY="$(openssl rand -hex 32)"

Generate one in Windows PowerShell:

$bytes = New-Object byte[] 32

$env:MCP_API_KEY = ([BitConverter]::ToString($bytes) -replace "-", "").ToLower()

Start the Docker image with the key:

docker run -d \

-p 8000:8000 \ -e DATABASE_URL=" " \ -e MCP_API_KEY="$MCP_API_KEY" \ souhardyak/mcp-db-server:latest

Call a protected endpoint with the same key:

curl -H "X-API-Key: $MCP_API_KEY" http://localhost:8000/mcp/list_tables

Keep the key in a password manager or deployment secret store. Do not commit it to Git, put it in a public image, or include it in logs.

Security Features

  • Mandatory HTTP Authentication: Database API routes require X-API-Key; /health remains public for health checks
  • Secure Network Default: HTTP mode binds to 127.0.0.1 unless explicitly configured otherwise
  • Restricted CORS: Cross-origin access is disabled unless origins are explicitly configured
  • Read-Only Operations: Only SELECT queries are allowed
  • Query Validation: Automatic detection and blocking of dangerous SQL operations
  • Result Limiting: Maximum 50 rows per query (configurable)
  • Input Sanitization: Protection against SQL injection
  • Safe Defaults: Secure configuration out of the box

Architecture

mcp-db-server/

├── app/ │ ├── init.py # Package initialization │ ├── server.py # FastAPI application and endpoints │ ├── db.py # Database connection and operations │ └── nl_to_sql.py # Natural language to SQL conversion ├── .github/workflows/ │ └── docker-publish.yml # CI/CD pipeline ├── docker-compose.yml # Docker Compose configuration ├── Dockerfile # Container definition

只显示了开头部分;其余内容请在仓库中阅读

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