MSSQL MCP Server
A Model Context Protocol server that enables secure and structured interaction with Microsoft SQL Server databases, allowing AI assistants to list tables, read data, and execute SQL queries with controlled access.
JexinSam
README
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
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:
- Create a dedicated MSSQL user with restricted permissions.
- Avoid hardcoding credentials—use environment variables instead.
- Restrict access to necessary tables and operations only.
- Enable SQL Server logging and monitoring for auditing.
- 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:
- Fork the repository.
- Create a feature branch:
git checkout -b feature/amazing-feature
- Commit your changes:
git commit -m 'Add amazing feature'
- Push to the branch:
git push origin feature/amazing-feature
- Open a Pull Request.
Need Help?
For any questions or issues, feel free to open a GitHub Issue or reach out to the maintainers.
Recommended Servers
DuckDuckGo MCP Server
A Model Context Protocol (MCP) server that provides web search capabilities through DuckDuckGo, with additional features for content fetching and parsing.
YouTube Transcript MCP Server
This server retrieves transcripts for given YouTube video URLs, enabling integration with Goose CLI or Goose Desktop for transcript extraction and processing.

Supabase MCP Server
A Model Context Protocol (MCP) server that provides programmatic access to the Supabase Management API. This server allows AI models and other clients to manage Supabase projects and organizations through a standardized interface.
MCP DuckDB Knowledge Graph Memory Server
A memory server for Claude that stores and retrieves knowledge graph data in DuckDB, enhancing performance and query capabilities for conversations with persistent user information.
dbt Semantic Layer MCP Server
A server that enables querying the dbt Semantic Layer through natural language conversations with Claude Desktop and other AI assistants, allowing users to discover metrics, create queries, analyze data, and visualize results.
Tavily MCP Server
Provides AI-powered web search capabilities using Tavily's search API, enabling LLMs to perform sophisticated web searches, get direct answers to questions, and search recent news articles.
Metabase MCP Server
Enables AI assistants to interact with Metabase databases and dashboards, allowing users to list and execute queries, access data visualizations, and interact with database resources through natural language.

Airtable MCP Server
A Model Context Protocol server that provides tools for programmatically managing Airtable bases, tables, fields, and records through Claude Desktop or other MCP clients.
mcp-shodan
MCP server for querying the Shodan API and Shodan CVEDB. This server provides tools for IP lookups, device searches, DNS lookups, vulnerability queries, CPE lookups, and more.

Brev
Run, build, train, and deploy ML models on the cloud.