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SQL Server Agent - Modal Context Protocol MCP Server

@Amanp17

Repository

Basic information

Category

Databases

License

MIT

Transports

stdio

Author

Amanp17

About SQL Server Agent - Modal Context Protocol MCP Server

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.

SQL Server Agent - Modal Context Protocol MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-sql-server-natural-lang": {
      "command": "python",
      "args": [
        "mcp-ssms-client.py"
      ]
    }
  }
}

SQL Server Agent - Modal Context Protocol MCP Server tools

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.

Overview

What is SQL Server Agent - Modal Context Protocol?

SQL Server Agent - Modal Context Protocol is a conversational AI Query CLI that enables natural language interaction with SQL Server databases. It acts as a smart layer between large language models and the database, powered by the Modal Context Protocol (MCP). It is designed for developers, analysts, and non-technical users who want to query and manage databases without writing SQL.

How to use SQL Server Agent - Modal Context Protocol?

Ensure you have Python 3.12+ and an OpenAI API key. Clone the repository, install dependencies with pip install -r requirements.txt, and configure a .env file with your OpenAI key and SQL Server credentials. Run python mcp-ssms-client.py and enter your query in plain English when prompted (e.g., “Create an Employee table with 10 dummy records”).

Key features of SQL Server Agent - Modal Context Protocol

  • Talk to your database using plain English.
  • Perform no-code database operations via natural conversation.
  • Execute stored procedures with one-click natural commands.
  • Achieve accurate interactions through MCP-enhanced precision.
  • Maintain context across multi-step conversations.

Use cases of SQL Server Agent - Modal Context Protocol

  • Query your database without writing any SQL.
  • Execute stored procedures using conversational commands.
  • Perform complex multi-step database tasks with preserved context.
  • Enable non-technical users to access and analyse data intuitively.

Frequently asked questions

1

What is the Modal Context Protocol (MCP)?

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

2

Why should I use MCP for database interactions?

MCP simplifies building complex workflows where language models need frequent integration with data sources, making agent development easier and more reliable.

3

What are the prerequisites for running the server?

You need Python 3.12+ installed on your machine and a valid OpenAI API key. Additionally, you must have SQL Server accessible with credentials and the ODBC Driver 17 for SQL Server.

4

How do I start interacting with the database?

After setup, run `python mcp-ssms-client.py`. The script will prompt “Enter your Query:”. Type any request in natural language, like “show me employees and their departments”.

5

Does the agent remember context across questions?

Yes. The MCP-powered context-aware conversations allow you to ask follow-up questions, and the agent preserves the context from previous interactions.

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