原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
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Devart MCP Server for SQL Server (ADO.NET)

作者:devart-ai-connectivity版本 1.1.0i★ –i在你的电脑上运行
注册名称com.devart/mcp-sqlserver

安装

概览

作者提供的说明(英文原文)

Schema-aware read/write access to SQL Server through Devart dotConnect ADO.NET data provider.

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
  • 你需要填写:DEVART_MCP_SQLSERVER_CONNECTION

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 需要你自己填写: DEVART_MCP_SQLSERVER_CONNECTION

标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。

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": {
    "sqlserver": {
      "command": "dnx",
      "args": [
        "Devart.Mcp.SqlServer",
        "--yes",
        "run"
      ],
      "env": {
        "DEVART_MCP_SQLSERVER_CONNECTION": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add sqlserver --env DEVART_MCP_SQLSERVER_CONNECTION=your-value -- dnx Devart.Mcp.SqlServer --yes run

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": {
    "sqlserver": {
      "command": "dnx",
      "args": [
        "Devart.Mcp.SqlServer",
        "--yes",
        "run"
      ],
      "env": {
        "DEVART_MCP_SQLSERVER_CONNECTION": "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": {
    "sqlserver": {
      "type": "stdio",
      "command": "dnx",
      "args": [
        "Devart.Mcp.SqlServer",
        "--yes",
        "run"
      ],
      "env": {
        "DEVART_MCP_SQLSERVER_CONNECTION": "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

  • DEVART_MCP_SQLSERVER_CONNECTION 机密 必填 env
    A dotConnect for SQL Server connection string.

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6日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过域名 devart.com 验证(注册中心会核实域名所有权)

  • … 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 953 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 953 个服务器的 39% 更新
  • 基础检查结果等于或优于此分类中其他 953 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

Devart MCP Server for SQL Server (ADO.NET) 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?

你需要填写:DEVART_MCP_SQLSERVER_CONNECTION

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(1.1.0)于2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 .NET。

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-2.0前天更新
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。

Version 1.1.0

[What's new](https://github.com/devart-ai-connectivity/devart-mcp-server-sqlserver/releases/latest) · Changelog

Devart MCP Server for SQL Server

Devart MCP Server for SQL Server enables AI clients to interact with your data through a secure server running in your environment. It turns a regular AI chat into a practical way to work with real-world business data — and it is faster than conventional export or manual querying.

Key benefits

Devart MCP Server for SQL Server allows you to:

  • Work with data intuitively through natural language.
  • Retrieve the required data for analysis within minutes.
  • Report on your data faster with AI-powered assistance.
  • Minimize manual data handling and integration maintenance.

How it works

Devart MCP Server for SQL Server helps AI clients communicate directly with SQL Server databases using natural-language prompts. It translates AI requests into structured queries, executes them through Devart connectivity drivers, and returns clean, structured results for seamless AI-powered data access.

Quick start

To get started with Devart MCP Server for SQL Server:

1\. Download and install Devart ODBC Driver for SQL Server.

2\. Download and install Devart MCP Server for SQL Server.

3\. In Devart MCP Server for SQL Server, configure your data connection and integration settings.

4\. Run your first natural-language query.

Manual installation and configuration

Prerequisites

Before building and running Devart MCP Server for SQL Server, ensure the following components are installed:

  • .NET 8 SDK
  • ADO.NET connection — Devart.AI.McpServer.AdoNet.SqlServer.csproj Devart dotConnect for SQL Server (installed automatically via NuGet during build)
  • ODBC connection — Devart.AI.McpServer.Odbc.SqlServer.csproj Devart ODBC Driver for SQL Server (requires manual download and installation)

Step 1: Clone the repository

Clone the project repository and navigate to the project directory:

1\. Open Command Prompt.

2\. Enter the following command:

git clone https://github.com/devart-ai-connectivity/devart-mcp-server-sqlserver.git

cd devart-mcp-server-sqlserver

Step 2: Build the MCP Server from source

You can build Devart MCP Server for SQL Server from source using either of the supported database connectivity technologies: ADO.NET or ODBC.

  • To build the MCP server with ADO.NET, run the following command:
dotnet publish Devart.AI.McpServer.AdoNet/Devart.AI.McpServer.AdoNet.SqlServer/Devart.AI.McpServer.AdoNet.SqlServer.csproj -c ReleaseSqlServer /p:TargetFramework=net8.0

The Devart dotConnect for SQL Server NuGet package is downloaded and restored automatically.

  • To build the MCP server with ODBC, select the command based on the bitness of your data source.

For 64-bit data source, run the following command:

dotnet publish Devart.AI.McpServer.Odbc/Devart.AI.McpServer.Odbc.SqlServer/Devart.AI.McpServer.Odbc.SqlServer.csproj -c ReleaseSqlServer -r "win-x64" /p:TargetFramework=net8.0

For 32-bit data source, run the following command:

dotnet publish Devart.AI.McpServer.Odbc/Devart.AI.McpServer.Odbc.SqlServer/Devart.AI.McpServer.Odbc.SqlServer.csproj -c ReleaseSqlServer -r "win-x86" /p:TargetFramework=net8.0

Note

The target platform must match the bitness of your ODBC data source.

Step 3: Configure the database connection for the MCP Server

1\. Create an mcpserver.json configuration file in the directory containing the built MCP Server executable.

2\. In the file, configure the database connection.

  • Configure a connection with ADO.NET.

Add the following configuration to the mcpserver.json file:

{

"Connections": [ { "Name": "my_sqlserver", "ConnectionString": "Server=localhost;User Id=your_user;Password=your_password;Database=your_database;License Key=your_license_key;", "ProtocolType": "stdio" } ] }

  • Configure a connection with ODBC.

Add the following configuration to the mcpserver.json file:

{

"Connections": [ { "Name": "my_sqlserver", "DsnName": "your_dsn_name", "ProtocolType": "stdio" } ] }

  • Configure a connection with ODBC using a connection string.

Add the following configuration to the mcpserver.json file:

{

"Connections": [ { "Name": "my_sqlserver", "ConnectionString": "Driver={Devart ODBC Driver for SQL Server};Server=localhost;User ID=sqlserver;Password=your_password;Database=your_database;", "ProtocolType": "stdio" } ] }

where:
  • Name — The connection name.
  • ConnectionString (applies to ADO.NET) — A database-specific connection string used to establish a connection to the target database.
  • DsnName (applies to ODBC) — The name of your data source.
  • ProtocolType — A transport protocol. The possible options are: stdio or http.
  • HttpPort (required if ProtocolType is set to http) — The port number for the http protocol.

Step 4: Run the MCP server

After you configure the MCP Server, you can start it.

Note

This step is required only when ProtocolType is configured as http. If you use the stdio transport protocol, your AI client starts the server automatically.

  • To start the server with ADO.NET, run the following command:
Devart.AI.McpServer.AdoNet.SqlServer.exe run my_sqlserver
  • To start the server with ODBC, run the following command:
Devart.AI.McpServer.Odbc.SqlServer.exe run my_sqlserver

where my_sqlserver is the name of the ODBC connection.

Step 5: Integrate with Claude Desktop

1\. Open claude_desktop_config.json, the Claude configuration file.

Tip

If you can't locate the configuration file, it may not exist yet. To create it, open Claude Desktop and navigate to File > Settings > Developer, then click Edit Config. The folder with the claude_desktop_config.json file opens.

2\. Add one of the following objects, depending on the transport protocol used by MCP Server:

  • STDIO
{

"mcpServers": { "devart": { "command": "C:\\path\\to\\Devart.AI.McpServer.AdoNet.SqlServer.exe", "args": [ "run", "my_sqlserver" ] } } }

where:

  • devart is the connector name that will appear in Claude Desktop.
  • C:\\path\\to\\Devart.AI.McpServer.AdoNet.SqlServer.exe is the path to the executable file. For an ODBC connection, use Devart.AI.McpServer.Odbc.SqlServer.exe.
  • my_sqlserver is the connection name specified in the mcpserver.json configuration file.
  • HTTP
    "mcpServers": {

"devart": { "command": "npx", "args": [ "-y", "mcp-remote", "http://localhost:5000/sse" ] } }

where:

  • devart is the connector name that will appear in Claude Desktop.
  • 5000 is the MCP Server listening port.

3\. Save the file.

4\. Restart Claude Desktop.

Devart MCP Server for SQL Server is now integrated with Claude, and devart appears in the Claude Desktop app in Customize > Connectors.

You can also integrate Devart MCP Server for SQL Server with other AI clients such as Cline, Codex, Cursor, Visual Studio Code, Windsurf, Zed.

Supported clients

Devart MCP Server for SQL Server supports integration with the following AI clients:

  • Claude Desktop
  • Visual Studio Code
  • Cursor
  • Codex
  • Windsurf
  • Cline
  • Zed
  • ...and other MCP-compatible AI clients

Typical use cases

Devart MCP Server for SQL Server is a practical fit for teams working with SQL Server as their primary data source.

  • .NET application data access Query business data from SQL Server databases backing .NET web applications, APIs, and enterprise software, without SQL or developer involvement.
  • Microsoft Dynamics and ERP analytics Access CRM, ERP, and operational data stored in SQL Server by Microsoft Dynamics on-premises deployments directly through AI tools.
  • SharePoint and intranet data exploration Query content databases, list data, and metadata from SQL Server instances backing SharePoint or other Microsoft intranet platforms.
  • BI and reporting without SSRS Answer ad-hoc business questions directly from SQL Server databases without building SSRS reports or waiting for BI team involvement.
  • Developer and DBA productivity Help SQL Server developers and DBAs investigate data issues, explore stored procedures, audit schemas, and troubleshoot performance problems with AI assistance.
  • Secure on-premises AI access to SQL Server Keep SQL Server data inside your infrastructure, including Azure-connected instances with private networking, while enabling AI-driven analysis.

Licensing and activation

Devart MCP Server for SQL Server is distributed as a free single-source MCP server.

To connect to SQL Server, the server requires the corresponding Devart ODBC Driver for SQL Server, which is a paid product.

A 30-day free trial is available for the Devart ODBC Driver for SQL Server.

See the product page and documentation for the latest installation and activation details.

Support

Other Devart connectivity solutions

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