SQL Server Agent - Modal Context Protocol

What is SQL Server Agent - Modal Context Protocol?

The SQL Server Agent is a conversational AI Query CLI that enables natural language interaction with SQL Server databases. It leverages the Modal Context Protocol (MCP) as a smart layer between a language model (LLM) and the database, making data accessible to developers, analysts, and non-technical users without writing SQL.

How to use SQL Server Agent - Modal Context Protocol?

Install the agent by cloning the repository, installing dependencies with pip install -r requirements.txt, and setting environment variables (OpenAI API key, SQL Server credentials, ODBC driver). Run python mcp-ssms-client.py, then type queries in plain English when prompted. The agent processes requests via MCP and returns database results, preserving context for follow-up questions.

Key features of SQL Server Agent - Modal Context Protocol

• Query your database using plain English.
• Perform no-code database operations through natural conversations.
• Execute stored procedures with one-click conversational commands.
• MCP‑enhanced accuracy for precise database interactions.
• Context‑aware conversations across multiple steps.

Use cases of SQL Server Agent - Modal Context Protocol

• Query data without writing SQL (e.g., "Show me employees and their departments").
• Execute stored procedures via natural language commands.
• Build complex workflows that maintain context across multiple queries.
• Enable non‑technical team members to access database information directly.

FAQ from SQL Server Agent - Modal Context Protocol

What is the Modal Context Protocol (MCP)?

MCP is a methodology that defines how to bind context to LLMs, providing a standardized way to connect AI models to data sources and tools.

What are the prerequisites to run the agent?

Python 3.12+, a valid OpenAI API key, and SQL Server database credentials (server, database, username, password, and ODBC Driver 17 for SQL Server).

How do I interact with the database?

Run python mcp-ssms-client.py, then type your request in natural language at the “Enter your Query:” prompt. The agent will return results and retain context for follow‑up questions.

Does the agent support stored procedures?

Yes. It offers one‑click execution of stored procedures through natural language commands.

What is the architecture behind the agent?

The MCP architecture follows a client‑server model: an MCP Client (LLM) connects via the MCP Protocol to an MCP Server, which accesses data sources such as local databases, cloud databases, or external APIs.