MSSQL MCP Server

MSSQL MCP Server

By daobataotie GitHub

mssql mcp server

ai mcp
Overview

what is MSSQL MCP Server?

MSSQL MCP Server is a database interaction and business intelligence tool that allows users to run SQL queries, analyze business data, and automatically generate business insight memos.

how to use MSSQL MCP Server?

To use MSSQL MCP Server, install the required packages, configure the database connection in a JSON file, and run the server script to interact with the database.

key features of MSSQL MCP Server?

  • Execute SELECT, INSERT, UPDATE, and DELETE SQL queries.
  • Create and manage database tables.
  • Generate business insights and memos automatically.
  • Supports ODBC Driver for SQL Server.

use cases of MSSQL MCP Server?

  1. Analyzing business data for decision-making.
  2. Automating the generation of business reports.
  3. Managing and querying large datasets in SQL Server.

FAQ from MSSQL MCP Server?

  • What programming language is MSSQL MCP Server built with?

MSSQL MCP Server is built with Python.

  • Is there a license for MSSQL MCP Server?

Yes, it is released under the MIT License.

  • What are the system requirements?

It requires Python 3.x and specific packages like pyodbc and pydantic.

Content

MSSQL MCP Server

English | 中文

Overview

MSSQL MCP Server, provides database interaction and business intelligence capabilities. This server enables running SQL queries, analyzing business data, and automatically generating business insight memos.
Refer to the official website's SQLite for modifications to adapt to MSSQL

Components

  • read_query
    • Execute SELECT queries to read data from the database
  • write_query
    • Execute INSERT, UPDATE, or DELETE queries
  • create_table
    • Create new tables in the database
  • list_tables
    • Get a list of all tables in the database
  • describe-table
    • View schema information for a specific table
  • append_insight
    • Add new business insights to the memo resource

Demo

The database table is as follows. The column names are not standardized, and AI will match them on its own. Errors during SQL execution will self correct.

Table

The following is the demo.

Demo

Operating environment

  • Python 3.x
  • Packages
    • pyodbc>=4.0.39
    • pydantic>=2.0.0
    • mcp>=0.1.0
  • ODBC Driver 17 for SQL Server

Usage

Install packages

CD /d ~/mssql-mcp  
pip install -r requirements.txt  

config

#with server.py same folder create config.json,add:    
{
    "database": {
        "driver": "ODBC Driver 17 for SQL Server",
        "server": "server ip",
        "database": "db name",
        "username": "username",
        "password": "password",
        "trusted_connection": false
    },
    "server": {
        "name": "mssql-manager",
        "version": "0.1.0"
    }
}

Claude Desktop 、 Windsurf

# add to claude_desktop_config.json. Note:use your path  
{
    "mcpServers": {
        "mssql": {
            "command": "python",
            "args": [
                # your path,e.g.:"C:\\mssql-mcp\\src\\server.py"
                "~/server.py"
            ]
        }
    }
}

Cursor

# Add according to the following diagram Cursor MCP. Note:use your path  

Cursor config

MCP Inspector

# Note:use your path  
npx -y @modelcontextprotocol/inspector python C:\\mssql-mcp\\src\\server.py

Project Structure

mssql-mcp
├── .git
├── .gitignore
├── LICENSE
├── README.md
├── README_en.md
├── README_zh.md
├── imgs
│   ├── cursor_config.png
│   ├── table.png
│   └── demo.gif
├── requirements.txt
└── src
    ├── __init__.py
    └── server.py

License

MIT License

No tools information available.
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