SQL Data Interrogation and Insight Generation System (MSSQL Variant)

English Documentation | 中文 Documentation

System Overview

This specialized MCP module furnishes robust capabilities for interfacing directly with Microsoft SQL Server instances. Its primary functions encompass executing arbitrary SQL operations, performing in-depth examination of retrieved datasets, and dynamically compiling concise memoranda summarizing emergent business intelligence points. Note: Consult the generic SQLite adaptation documentation for configuration variances applicable to MSSQL environments.

Core Functionalities

• read_query
• Dispatches SELECT statements to retrieve records from specified database structures.
• write_query
• Handles data modification operations, including INSERT, UPDATE, or DELETE statements.
• create_table
• Initiates the schema creation process for new relational entities within the database.
• list_tables
• Fetches and presents a catalog of all existing tables within the connected data repository.
• describe-table
• Retrieves and displays the structural metadata (schema definition) for a designated table.
• append_insight
• Integrates newly derived business observations directly into the designated summary artifact.

Operational Demonstration

Database schemata are processed dynamically; column naming conventions are adaptable, allowing AI inference. The system incorporates self-remediation logic to correct minor SQL execution faults encountered during runtime.

Technical Prerequisites

• Execution Environment:
  • Python Runtime Version: 3.x
• Required Python Dependencies:
  • pyodbc (version minimum: 4.0.39)
  • pydantic (version minimum: 2.0.0)
  • mcp (version minimum: 0.1.0)
• Underlying System Dependency:
  • Microsoft ODBC Driver (Version 17 or later) for SQL Server

Deployment Guide

Installing Dependencies

Execute the following commands within the project root directory:

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

Configuration File Setup (config.json)

Create a config.json file co-located with server.py and populate it with connection parameters:

{
    "database": {
        "driver": "ODBC Driver 17 for SQL Server",
        "server": "server ip address",
        "database": "database name",
        "username": "user identifier",
        "password": "secret access phrase",
        "trusted_connection": false
    },
    "server": {
        "name": "mssql-manager",
        "version": "0.1.0"
    }
}

Integration with Desktop Clients (Claude Desktop / Windsurf)

Modify your client configuration file (claude_desktop_config.json) to map this server entry. Ensure the path points correctly to the executable:

{
    "mcpServers": {
        "mssql": {
            "command": "python",
            "args": [
                # Substitute with the actual absolute or relative path to ~/server.py
                "~/server.py"
            ]
        }
    }
}

Integration with Cursor IDE

Configure the Cursor environment via its MCP settings panel, referencing the structure shown previously for client configuration.

Note: Recent Cursor versions mandate JSON configuration formats; ensure compliance with the client configuration standard detailed above.

Utilization with MCP Inspector

Invoke the inspector tool, pointing it toward the local server process:

npx -y @modelcontextprotocol/inspector python C:\mssql-mcp\src\server.py

Project Repository Layout

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

Licensing Information

Distributed under the terms of the MIT License.

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