What prerequisites are needed?
Python 3.8+, the Microsoft ODBC Driver for SQL Server installed, and an Anthropic API key.
@david-ruffin
Basic information
Natural Language SQL Chat Interface using MCP SQL Server
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"MCP-MSSQL-SERVER-WEBAPP": {
"command": "python",
"args": [
"-m",
"venv",
"venv"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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.
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