MSSQL MCP Server Integration

What does “MSSQL” MCP Server do?

The MSSQL MCP Server is a Model Context Protocol (MCP) server designed to enable secure and structured interaction with Microsoft SQL Server (MSSQL) databases. By acting as a bridge between AI assistants and MSSQL databases, it allows for robust development workflows involving data access and manipulation. The server provides features such as listing available tables, reading table contents, and executing SQL queries with controlled access and comprehensive logging. This approach ensures safe database exploration, strict permission enforcement, and full traceability of all database interactions. Developers benefit from enhanced security by using environment variables for credentials and by following best practices for database access and auditing.

List of Prompts

No prompt templates were mentioned or documented in the repository.

List of Resources

No explicit resources are listed or described in the repository documentation or code.

List of Tools

• List Tables: Enables the client to list available tables in the configured MSSQL database.
• Read Table Contents: Allows reading the data from a specified table, subject to permission controls.
• Execute SQL Query: Permits execution of custom SQL queries with controlled access and error handling.
• Comprehensive Logging: All queries and operations are logged for monitoring and auditing purposes.

Use Cases of this MCP Server

• Database Management: Safely list, read, and query MSSQL databases via an AI assistant, streamlining routine database administration tasks.
• Data Exploration: Allow AI models to explore table structures and preview data, aiding in data science workflows and analytics.
• Controlled Query Execution: Enable the secure execution of custom queries with permission enforcement, reducing the risk of unintended data access.
• Development Automation: Automate routine or repetitive SQL operations within development pipelines, improving productivity.
• Auditing and Compliance: Ensure all database interactions are logged for traceability and compliance, which is critical in regulated environments.

How to set it up

Windsurf

No setup instructions for Windsurf are provided in the repository.

Claude

1. Install the MCP server:
   • Run: pip install mssql-mcp-server
2. Set required environment variables for MSSQL connection:
   • Example:

     MSSQL_DRIVER=mssql_driver
     MSSQL_HOST=localhost
     MSSQL_USER=your_username
     MSSQL_PASSWORD=your_password
     MSSQL_DATABASE=your_database
     

3. Edit claude_desktop_config.json and add the MCP server:

   {
     "mcpServers": {
       "mssql": {
         "command": "uv",
         "args": [
           "--directory",
           "path/to/mssql_mcp_server",
           "run",
           "mssql_mcp_server"
         ],
         "env": {
           "MSSQL_DRIVER": "mssql_driver",
           "MSSQL_HOST": "localhost",
           "MSSQL_USER": "your_username",
           "MSSQL_PASSWORD": "your_password",
           "MSSQL_DATABASE": "your_database"
         }
       }
     }
   }
   

4. Save the configuration and restart Claude Desktop.
5. Verify setup by attempting to connect via Claude’s interface.

Cursor

No setup instructions for Cursor are provided in the repository.

Cline

No setup instructions for Cline are provided in the repository.

Securing API Keys

Always use environment variables for sensitive information. Example in the configuration above under "env". Do not hardcode credentials.

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "mssql": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change "mssql" to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.

Overview

Based on the above, the MSSQL MCP Server is straightforward and secure for MSSQL database access, with clear setup and security practices, but lacks documentation on prompts, resources, and advanced MCP features like Sampling and Roots.

Our opinion

This MCP server provides a solid, secure bridge for MSSQL database integration and is valuable for database-driven AI workflows. However, it would benefit from more extensive documentation on prompt templates, resource exposure, and advanced MCP features. Overall, it is well-suited for teams seeking secure, auditable SQL access via MCP, but is limited by missing documentation in some areas.

MCP Score