awslabs.mssql-mcp-server

v0.1.1 safe
3.0
Low Risk

An AWS Labs Model Context Protocol (MCP) server for Microsoft SQL Server on AWS RDS

🤖 AI Analysis

Final verdict: SAFE

The package appears to be legitimate with low risks across all assessed categories. The metadata risk is slightly elevated due to the author's limited history, but there is no concrete evidence of malicious intent.

  • Low network and shell execution risks
  • No signs of credential harvesting
  • Metadata risk due to single-package author
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external services.
  • Shell: No shell execution patterns detected, indicating the package likely does not execute system commands.
  • Obfuscation: The observed pattern is commonly used for extending package paths and does not inherently indicate malicious activity.
  • Credentials: No suspicious patterns for credential harvesting were identified.
  • Metadata: The author has only one package on PyPI, which might indicate a new or less active account, raising some suspicion but not conclusive evidence of malice.

📦 Package Quality Overall: Medium (6.2/10)

✦ High Test Suite 9.0

Test suite present — 12 test file(s) found

  • Test runner config found: conftest.py
  • Test runner config found: conftest.py
  • Test runner config found: pyproject.toml
  • 12 test file(s) detected (e.g. conftest.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (8024 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 28 type-annotated function signatures detected in source
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 42 unique contributor(s) across 100 commits in awslabs/mcp
  • Active community — 5 or more distinct contributors

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • amespace packages. __path__ = __import__('pkgutil').extend_path(__path__, __name__) # Copyright Amazon.com, In
✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: users.noreply.github.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository awslabs/mcp appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Amazon Web Services" appears to have only 1 package on PyPI (new or inactive account)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with awslabs.mssql-mcp-server 
Your task is to create a Python-based mini-application that leverages the 'awslabs.mssql-mcp-server' package to manage and interact with a Microsoft SQL Server database hosted on Amazon RDS. This application will serve as a simple yet powerful tool for database administrators and developers who need to perform routine tasks such as querying data, executing stored procedures, and managing connections efficiently. Here are the steps and features your application should include:

1. **Setup and Configuration**: Start by setting up your environment with the necessary AWS credentials and configuring the connection details to your RDS SQL Server instance using the 'awslabs.mssql-mcp-server' package.
2. **Database Connection Management**: Implement a feature to establish, maintain, and close connections to the SQL Server database. Ensure that the connection is secure and efficient, utilizing the package's capabilities for optimal performance.
3. **Data Querying**: Develop a module that allows users to execute SQL queries directly against the database. This should include functionality to handle different types of queries (SELECT, INSERT, UPDATE, DELETE) and return results in a user-friendly format.
4. **Stored Procedures Execution**: Incorporate a feature to call and execute stored procedures within the SQL Server database. Users should be able to specify the procedure name and input parameters, with the ability to handle output parameters and return values.
5. **Error Handling and Logging**: Implement robust error handling and logging mechanisms to capture any issues that arise during database interactions. This includes logging connection errors, query execution failures, and other runtime exceptions.
6. **User Interface**: Although not required, consider adding a basic command-line interface (CLI) or a graphical user interface (GUI) using a library like Tkinter for easier interaction with the application.
7. **Documentation**: Provide comprehensive documentation explaining how to install and configure the application, along with examples of how to use each feature.

By completing these steps, you'll have developed a versatile tool that simplifies common database management tasks using the 'awslabs.mssql-mcp-server' package.

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