Microsoft SQL Server MCP Server
by MCP-Mirror
This is a Model Context Protocol (MCP) server that enables secure interaction with Microsoft SQL Server databases. It allows AI assistants to list tables, read data, and execute SQL queries through a controlled interface.
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What is Microsoft SQL Server MCP Server?
A Model Context Protocol (MCP) server designed to provide a secure and controlled interface for AI assistants to interact with Microsoft SQL Server databases. It allows listing tables, reading data, and executing SQL queries in a structured manner.
How to use Microsoft SQL Server MCP Server?
The server can be installed via pip using pip install mssql-mcp-server
. Configuration requires setting environment variables for the SQL Server connection details (server, user, password, database). It can be integrated with Claude Desktop by adding it to the claude_desktop_config.json
file or run as a standalone server.
Key features of Microsoft SQL Server MCP Server
List available SQL Server tables as resources
Read table contents
Execute SQL queries with proper error handling
Secure database access through environment variables
Use cases of Microsoft SQL Server MCP Server
Database exploration by AI assistants
Data analysis through controlled SQL queries
Automated reporting from SQL Server data
Secure database access for AI-powered applications
FAQ from Microsoft SQL Server MCP Server
What is the purpose of this server?
What is the purpose of this server?
To provide a secure and controlled interface for AI assistants to interact with Microsoft SQL Server databases.
How do I install the server?
How do I install the server?
Use pip install mssql-mcp-server
.
What environment variables do I need to set?
What environment variables do I need to set?
You need to set MSSQL_SERVER, MSSQL_USER, MSSQL_PASSWORD, and MSSQL_DATABASE.
How do I integrate this with Claude Desktop?
How do I integrate this with Claude Desktop?
Add the server configuration to your claude_desktop_config.json
file.
What security measures should I take?
What security measures should I take?
Use a dedicated SQL Server login with minimal permissions, never use sa credentials, restrict database access, and enable logging.