
Devart MCP Server for SQL Server (ADO.NET)
com.devart由 devart.com 发布v1.1.0更新于 Oct 24, 2026
Schema-aware read/write access to SQL Server through Devart dotConnect ADO.NET data provider.
概览
通过 Devart dotConnect ADO.NET 或 ODBC 连接,让 AI 助手用自然语言查询和修改 SQL Server 数据库。
- 可以做什么
- 把自然语言请求转换为结构化 SQL 查询,并在已配置的 SQL Server 连接上执行
- 以感知架构的方式读写数据,返回结构化结果用于分析和报表
- 查看架构、存储过程和数据问题,辅助开发者和 DBA 排查故障
- 针对 .NET 应用、Dynamics/ERP、SharePoint 或内网平台背后的数据库回答临时业务问题
- 适用场景
- 当 SQL Server 是团队的主要数据源,且希望以对话方式查询、做临时报表或浏览架构,而不必手写 SQL 或等待 BI 团队时适用。也适合希望数据留在自有基础设施内的本地部署场景。
- 运行要求
- 作为本地 Windows 进程运行(从源码构建需 .NET 8 SDK;NuGet 包 Devart.Mcp.SqlServer)。需在 mcpserver.json 中配置 SQL Server 连接,可使用 ADO.NET 连接字符串或 ODBC DSN;ODBC 方式还需安装 Devart ODBC Driver for SQL Server。连接字符串通过环境变量 DEVART_MCP_SQLSERVER_CONNECTION 提供。支持 stdio 或 http 传输。
安装
在 SourceWeft 中
- 打开 控制台中的 Devart MCP Server for SQL Server (ADO.NET),将其添加到工作区。
- 为需要使用其工具的对话启用该服务。
Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。
其他 MCP 客户端
参照 仓库 中的启动说明。
README
[Devart MCP Server for SQL Server]
Version 1.1.0
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.
[Devart MCP Server architecture]
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.
[Devart MCP Server configuration]
4. Run your first natural-language query.
[Need an MCP Server for multiple data sources?]
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:
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:
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:
For 32-bit data source, run the following command:
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:
- Configure a connection with ODBC.
Add the following configuration to the mcpserver.json file:
- Configure a connection with ODBC using a connection string.
Add the following configuration to the mcpserver.json file:
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:stdioorhttp. -
HttpPort(required ifProtocolTypeis set tohttp) — The port number for thehttpprotocol.
Step 4: Run the MCP server
After you configure the MCP Server, you can start it.
Note
This step is required only when
ProtocolTypeis configured ashttp. If you use thestdiotransport protocol, your AI client starts the server automatically.
- To start the server with ADO.NET, run the following command:
- To start the server with ODBC, run the following command:
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.jsonfile opens.
2. Add one of the following objects, depending on the transport protocol used by MCP Server:
- STDIO
where:
-
devartis the connector name that will appear in Claude Desktop. -
C:\\path\\to\\Devart.AI.McpServer.AdoNet.SqlServer.exeis the path to the executable file. For an ODBC connection, useDevart.AI.McpServer.Odbc.SqlServer.exe. -
my_sqlserveris the connection name specified in themcpserver.jsonconfiguration file. -
HTTP
where:
devartis the connector name that will appear in Claude Desktop.5000is 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
来源:README.md,提交 ecb6efc
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0版本历史
1- v1.1.0最新Sep 17, 2026
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