MCP.so
ログイン

Natural Language MCP-MSSQL Client

@david-ruffin

基本情報

カテゴリ

データベース

トランスポート

stdio

作者

david-ruffin

Natural Language MCP-MSSQL Client について

Natural Language SQL Chat Interface using MCP SQL Server

Natural Language MCP-MSSQL Client の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "MCP-MSSQL-SERVER-WEBAPP": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

Natural Language MCP-MSSQL Client のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Natural Language MCP-MSSQL Client?

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.

How to use Natural Language MCP-MSSQL Client?

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.

Key features of Natural Language MCP-MSSQL Client

  • Natural language querying of MS SQL Server databases
  • MCP integration via FastMCP framework
  • Uses Anthropic’s Claude API to translate English to SQL
  • Interactive mode for ad‑hoc questions
  • Demo mode with predefined example queries

Use cases of Natural Language MCP-MSSQL Client

  • Ask “How many products are there?” without writing SQL
  • List customers from a specific state (e.g., California)
  • Show the most expensive products in the database
  • Quickly explore order counts or product categories
  • Demo the system with built‑in example questions

よくある質問

1

What prerequisites are needed?

Python 3.8+, the Microsoft ODBC Driver for SQL Server installed, and an Anthropic API key.

2

How do I configure the environment?

Copy `.env.example` to `.env` and fill in your database server, database name, username, password, ODBC driver name, and Anthropic API key.

3

How do I run the client in interactive mode?

After setup, run `python interactive_client.py` and type natural language questions at the prompt.

4

What does demo mode do?

`python demo_nl_client.py` runs several predefined questions automatically, showing the translation to SQL and the results.

5

How does the client connect to the database?

It uses the MCP-MSSQL server (via FastMCP) and the credentials supplied in the `.env` file to access the MS SQL Server database.

コメント

「データベース」の他のコンテンツ