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SQL Server Agent - Modal Context Protocol MCP Server

@aman-panjwani

Repository

Basic information

Category

Databases

License

MIT

Transports

stdio

Author

aman-panjwani

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-aman-panjwani": {
      "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.

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Overview

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.

Frequently asked questions

1

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.

2

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).

3

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.

4

Does the agent support stored procedures?

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

5

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.

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