Mssql Mcp Server

What is Mssql Mcp Server about?

Mssql Mcp Server enables AI assistants or other clients to interact with Microsoft SQL Server instances in a safe, permission‑controlled manner. It abstracts common database actions—listing tables, reading rows, and running ad‑hoc SQL—while enforcing strict access rules and logging every operation.

How to use Mssql Mcp Server?

1. Install the package:

   pip install mssql-mcp-server
   

2. Configure required environment variables (example values shown):

   export MSSQL_DRIVER=ODBC+Driver+17+for+SQL+Server
   export MSSQL_HOST=localhost
   export MSSQL_USER=my_user
   export MSSQL_PASSWORD=secret
   export MSSQL_DATABASE=my_db
   # optional
   export TrustServerCertificate=yes
   export Trusted_Connection=no
   

3. Run the server as a module:

   python -m mssql_mcp_server
   

4. Integrate with an AI platform (e.g., Claude Desktop) by adding the server configuration to its claude_desktop_config.json as shown in the README.

Key features of Mssql Mcp Server

• Secure connection handling via environment variables
• Controlled execution of SQL with error capture
• Automatic table listing and row fetching endpoints
• Detailed request/response logging for audit trails
• Easy integration with Model Context Protocol‑compatible clients

Use cases of Mssql Mcp Server

• AI‑assisted data exploration: let an assistant browse database schemas and sample data without exposing full credentials.
• Limited‑privilege reporting tools: expose read‑only endpoints for dashboards while preventing destructive queries.
• Automated testing environments: spin up a temporary MCP server to validate SQL generation logic.
• Educational platforms: safely demonstrate SQL queries in interactive tutorials.

FAQ from the Mssql Mcp Server

Q: Do I need a dedicated database user? A: Yes. Create a user with only the permissions required for the allowed operations (e.g., SELECT on specific tables).

Q: Can I run write queries (INSERT/UPDATE)? A: The server can be configured to allow them, but it is recommended to keep the default read‑only mode for safety.

Q: How is logging handled? A: All incoming requests and their outcomes are logged to the standard output; you can redirect or extend this to file or monitoring services.

Q: What if I need to connect over SSL? A: Use the TrustServerCertificate and related connection string options in the environment variables.

Q: Is the server compatible with other MCP clients? A: Yes, any client that follows the Model Context Protocol specification can communicate with this server.

MSSQL MCP Server

MSSQL MCP Server is a Model Context Protocol (MCP) server that enables secure and structured interaction with Microsoft SQL Server (MSSQL) databases. It allows AI assistants to:

• List available tables
• Read table contents
• Execute SQL queries with controlled access

This ensures safer database exploration, strict permission enforcement, and logging of database interactions.

Features

• Secure MSSQL Database Access through environment variables
• Controlled Query Execution with error handling
• Table Listing & Data Retrieval
• Comprehensive Logging for monitoring queries and operations

Installation

pip install mssql-mcp-server

Configuration

Set the following environment variables to configure database access:

MSSQL_DRIVER=mssql_driver
MSSQL_HOST=localhost
MSSQL_USER=your_username
MSSQL_PASSWORD=your_password
MSSQL_DATABASE=your_database
#optional
TrustServerCertificate=yes
Trusted_Connection=no

Usage

With Claude Desktop

To integrate with Claude Desktop, add this configuration to claude_desktop_config.json:

{
  "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"
      }
    }
  }
}

Running as a Standalone Server

# Install dependencies
pip install -r requirements.txt

# Run the server
python -m mssql_mcp_server

Development

# Clone the repository
git clone https://github.com/yourusername/mssql_mcp_server.git
cd mssql_mcp_server

# Set up a virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install development dependencies
pip install -r requirements-dev.txt

# Run tests
pytest

Security Considerations

• Use a dedicated MSSQL user with minimal privileges.
• Never use root credentials or full administrative accounts.
• Restrict database access to only necessary operations.
• Enable logging and auditing for security monitoring.
• Regularly review permissions to ensure least privilege access.

Security Best Practices

For a secure setup:

1. Create a dedicated MSSQL user with restricted permissions.
2. Avoid hardcoding credentials—use environment variables instead.
3. Restrict access to necessary tables and operations only.
4. Enable SQL Server logging and monitoring for auditing.
5. Review database access regularly to prevent unauthorized access.

For detailed instructions, refer to the MSSQL Security Configuration Guide.

⚠️ IMPORTANT: Always follow the Principle of Least Privilege when configuring database access.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Contributing

We welcome contributions! To contribute:

1. Fork the repository.
2. Create a feature branch: git checkout -b feature/amazing-feature
3. Commit your changes: git commit -m 'Add amazing feature'
4. Push to the branch: git push origin feature/amazing-feature
5. Open a Pull Request.

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Need Help?

For any questions or issues, feel free to open a GitHub Issue or reach out to the maintainers.