S

Sql Server Table Assistant

A natural language interaction assistant for single SQL Server tables based on the Modal Context Protocol, supporting querying and modifying data through natural language, and providing query optimization, result interpretation, and log recording functions.
2 points
7

What is the SQL Server Table Assistant?

The SQL Server Table Assistant is a natural language processing-based application that allows you to interact with specific SQL Server tables. Through simple conversations, you can easily query, insert, update, or delete data.

How to use the SQL Server Table Assistant?

Simply enter your question or request, and the assistant will automatically generate the corresponding SQL query and display the results. You can also further optimize the query through feedback.

Applicable scenarios

Suitable for scenarios that require quick access to and operation of SQL Server tables, such as data analysis, report generation, or daily management tasks.

Main features

Natural language querySupports asking questions in natural language and automatically converts them into SQL queries.
Multi-round iterative optimizationContinuously improves SQL queries based on feedback until the requirements are met.
Security permission controlLimited to operations on a single table, reducing the risk of data leakage.
History record savingAutomatically saves all query histories for subsequent reference.

Advantages and limitations

Advantages
Easy to use without writing SQL statements
Focuses on single-table operations to enhance security
Supports multi-round conversations to optimize queries
Automatically saves query histories
Limitations
Only supports single-table operations and cannot perform cross-table queries
May require multiple iterations for complex queries
Depends on the Azure OpenAI service, and network latency may affect the experience

How to use

Install dependencies
Ensure that Python 3.12 or a higher version is installed, and run pip install -r requirements.txt to install all necessary libraries.
Configure environment variables
Create a.env file and fill in the necessary configuration information, including Azure OpenAI credentials and database connection information.
Start the application
Run python mcp-ssms-client.py to start the application.

Usage examples

Query the highest-paid employeesShow the highest-paid employees in each department.
Filter high-salary employeesFilter out employees with a salary over $50,000.

Frequently Asked Questions

How to install the necessary dependencies?
What should I do if I encounter connection problems?
How to view the historical query records?

Related resources

GitHub repository
Project source code and documentation
Azure OpenAI official documentation
Learn more details about the Azure OpenAI service
SQL Server official documentation
Deeply learn the basics of SQL Server
Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
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