SQL Server Agent - Modal Context Protocol
A Model Context Protocol (MCP) implementation enabling communication between an LLM and SQL Server. Allows users to query SQL databases using natural language and get structured SQL responses.
What is SQL Server Agent - Modal Context Protocol?
The SQL Server Agent is a conversational AI tool that enables users to interact with SQL Server databases using natural language, facilitated by the Modal Context Protocol (MCP).
How to use SQL Server Agent?
To use the SQL Server Agent, clone the repository, install the required dependencies, set up your environment variables, and run the client script to start querying your database in plain English.
Key features of SQL Server Agent?
- Natural Language Queries: Interact with your database using plain English.
- No-Code Operations: Perform database tasks without writing SQL.
- One-Click Execution: Easily run stored procedures with conversational commands.
- Context-Aware Interactions: Maintain context across multiple queries for seamless conversations.
Use cases of SQL Server Agent?
- Querying databases without SQL knowledge.
- Executing stored procedures through natural commands.
- Performing complex database operations with context preservation.
FAQ from SQL Server Agent?
- Can I use SQL Server Agent without programming knowledge?
Yes! SQL Server Agent is designed for users of all technical levels, allowing anyone to interact with databases using natural language.
- What do I need to run SQL Server Agent?
You need Python 3.12+, an OpenAI API key, and to set up your environment variables as specified in the documentation.
- How does the Modal Context Protocol enhance the experience?
MCP provides a structured way to connect AI models to data sources, ensuring accurate and context-aware interactions.
What is SQL Server Agent - Modal Context Protocol?
The SQL Server Agent is a conversational AI tool that enables users to interact with SQL Server databases using natural language, facilitated by the Modal Context Protocol (MCP).
How to use SQL Server Agent?
To use the SQL Server Agent, clone the repository, install the required dependencies, set up your environment variables, and run the client script to start querying your database in plain English.
Key features of SQL Server Agent?
- Natural Language Queries: Interact with your database using plain English.
- No-Code Operations: Perform database tasks without writing SQL.
- One-Click Execution: Easily run stored procedures with conversational commands.
- Context-Aware Interactions: Maintain context across multiple queries for seamless conversations.
Use cases of SQL Server Agent?
- Querying databases without SQL knowledge.
- Executing stored procedures through natural commands.
- Performing complex database operations with context preservation.
FAQ from SQL Server Agent?
- Can I use SQL Server Agent without programming knowledge?
Yes! SQL Server Agent is designed for users of all technical levels, allowing anyone to interact with databases using natural language.
- What do I need to run SQL Server Agent?
You need Python 3.12+, an OpenAI API key, and to set up your environment variables as specified in the documentation.
- How does the Modal Context Protocol enhance the experience?
MCP provides a structured way to connect AI models to data sources, ensuring accurate and context-aware interactions.