awslabs.amazon-qbusiness-anonymous-mcp-server

v0.0.17 suspicious
4.0
Medium Risk

An AWS Labs Model Context Protocol (MCP) server for Amazon Q Business anonymous mode application.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low risks in network, shell execution, and credential handling. However, the obfuscation and metadata risks suggest potential concerns that warrant further investigation.

  • Obscured code practices
  • Single-package author
Per-check LLM notes
  • Network: No network calls detected, which is typical and not indicative of malicious behavior unless the package's functionality requires external communication.
  • Shell: No shell execution patterns detected, indicating the package does not execute system commands, reducing risk of exploiting system vulnerabilities.
  • Obfuscation: The observed pattern is commonly used for extending package paths and does not inherently indicate malicious intent.
  • Credentials: No suspicious patterns related to credential harvesting were detected.
  • Metadata: The author has only one package, which might indicate a new or less active account, raising some suspicion but not conclusive evidence of malice.

📦 Package Quality Overall: Medium (5.8/10)

✦ High Test Suite 9.0

Test suite present — 5 test file(s) found

  • Test runner config found: conftest.py
  • Test runner config found: pyproject.toml
  • 5 test file(s) detected (e.g. __init__.py)
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "docs" -> https://awslabs.github.io/mcp/servers/amazon-qbusiness-anony
  • Detailed PyPI description (7821 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
○ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
✦ 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: amazon.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.amazon-qbusiness-anonymous-mcp-server 
Create a mini-application that leverages the 'awslabs.amazon-qbusiness-anonymous-mcp-server' package to facilitate anonymous interactions between users and a Q Business service. This application will serve as a bridge between anonymous users and the Q Business platform, allowing for secure and efficient communication without requiring personal identification from the user side. Here’s a detailed breakdown of the steps and features to implement:

1. **Setup**: Begin by installing the necessary packages including 'awslabs.amazon-qbusiness-anonymous-mcp-server'. Ensure your development environment is configured to work with AWS services.
2. **Authentication & Authorization**: Design a system where users can interact anonymously with the Q Business service. Implement a mechanism to handle sessions and temporary tokens for each interaction, ensuring that all communications are logged but not personally identifiable.
3. **Communication Interface**: Develop a simple yet effective user interface (UI) or command-line interface (CLI) through which users can send queries or commands to the Q Business service. The UI/CLI should provide feedback to the user regarding the status of their request and any responses received.
4. **Integration with MCP Server**: Use the 'awslabs.amazon-qbusiness-anonymous-mcp-server' package to set up a server that acts as a mediator between the users and the Q Business service. This server should handle requests from users, forward them appropriately, and return responses while maintaining anonymity.
5. **Security Measures**: Incorporate robust security measures to protect user data and ensure that all interactions are secure. This includes encryption of data in transit and at rest, as well as implementing best practices for securing the MCP server.
6. **Logging & Monitoring**: Implement logging mechanisms to track interactions and monitor the performance of the application. Logs should be stored securely and analyzed periodically to improve the application’s efficiency and reliability.
7. **Testing**: Conduct thorough testing to ensure that the application functions correctly and securely. Test various scenarios including edge cases and potential failure points.
8. **Documentation**: Provide comprehensive documentation on how to install, configure, and use the application. Include examples and troubleshooting guides to assist users.

By following these steps and utilizing the 'awslabs.amazon-qbusiness-anonymous-mcp-server' package effectively, you will create a valuable tool that promotes privacy and ease-of-use for anonymous interactions with Q Business services.

💬 Discussion Feed

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