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 -e .

Configuration

Set the following environment variables to configure database access:

# Database connection settings
MSSQL_DRIVER=ODBC Driver 18 for SQL Server
MSSQL_HOST=127.0.0.1
MSSQL_USER=
MSSQL_PASSWORD=
MSSQL_DATABASE=
TRUST_SERVER_CERTIFICATE=yes
TRUSTED_CONNECTION=no

# MCP Server settings
FASTMCP_LOG_LEVEL: INFO
FASTMCP_TRANSPORT=http
FASTMCP_PORT=8000

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

Docker build

docker build -t mssql-mcp . 
docker run -e MSSQL_HOST=host.docker.internal -e MSSQL_USER={DATABASE_USERNAME} -e MSSQL_PASSWORD={DATABASE_PASSWORD} -e MSSQL_DATABASE={DATABASE_NAME} -e MAX_ROWS_LIMIT=250 -p 3333:3333 mssql-mcp

run on https port at local

caddy run

trouble shoot your MPC resource

npx @modelcontextprotocol/inspector http://localhost:3333/mcp

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.