What prerequisites are needed?
Python 3.8+, the Microsoft ODBC Driver for SQL Server installed, and an Anthropic API key.
@david-ruffin
基本信息
Natural Language SQL Chat Interface using MCP SQL Server
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"MCP-MSSQL-SERVER-WEBAPP": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
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。
A client that lets users query Microsoft SQL Server databases using plain English questions through Claude AI, integrating with an MCP-MSSQL server via the Model Context Protocol. It is designed for anyone who wants to interact with SQL databases without writing SQL manually.
Clone the repository, set up a virtual environment, install dependencies from requirements.txt, copy .env.example to .env and fill in database and API credentials. Then run python interactive_client.py for interactive questioning, or python demo_nl_client.py to run predefined questions.
Python 3.8+, the Microsoft ODBC Driver for SQL Server installed, and an Anthropic API key.
Copy `.env.example` to `.env` and fill in your database server, database name, username, password, ODBC driver name, and Anthropic API key.
After setup, run `python interactive_client.py` and type natural language questions at the prompt.
`python demo_nl_client.py` runs several predefined questions automatically, showing the translation to SQL and the results.
It uses the MCP-MSSQL server (via FastMCP) and the credentials supplied in the `.env` file to access the MS SQL Server database.

Model Context Protocol Servers
An official Qdrant Model Context Protocol (MCP) server implementation
MCP server for interacting with Neon Management API and databases
Zero-dependency, token-efficient database MCP server for Postgres, MySQL, SQL Server, MariaDB, SQLite.
The Xata MCP server lets AI assistants and agents interact with your Xata organizations, projects, and Postgres database branches.
评论