AI Analysis
The package shows moderate signs of obfuscation, which raises concerns about its true intentions. While there are no immediate signs of malicious activity, the obfuscation could be used to hide malicious functionality.
- moderate obfuscation risk
- single package from author
Per-check LLM notes
- Network: No network calls detected, which is normal for a package that does not require external communication.
- Shell: No shell execution patterns detected, indicating the package does not execute system commands.
- Obfuscation: The observed patterns may indicate an attempt to obfuscate code for reasons such as evading detection or making reverse engineering more difficult, but without further context, it's uncertain if this is malicious.
- Credentials: No clear evidence of credential harvesting was found.
- Metadata: The author has only one package, suggesting it may be new or less active, but no other red flags are present.
Package Quality Overall: Medium (6.6/10)
Test suite present — 25 test file(s) found
Test runner config found: pyproject.toml25 test file(s) detected (e.g. test_aws_common.py)
Some documentation present
Documentation URL: "docs" -> https://awslabs.github.io/mcp/servers/cloudwatch-mcp-server/Detailed PyPI description (15242 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
72 type-annotated function signatures detected in source
Active multi-contributor project
42 unique contributor(s) across 100 commits in awslabs/mcpActive community — 5 or more distinct contributors
Heuristic Checks
No suspicious network call patterns found
Found 3 obfuscation pattern(s)
amespace packages. __path__ = __import__('pkgutil').extend_path(__path__, __name__) # Copyright Amazon.com, Ine(2023, 1, 1, 0, 0, 0, tzinfo=__import__('datetime').timezone.utc), datetime(2023, 1, 1, 1, 0, 0e(2023, 1, 1, 1, 0, 0, tzinfo=__import__('datetime').timezone.utc), 'both timezone-aware datetim
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: amazon.com>
All external links appear legitimate
Repository awslabs/mcp appears legitimate
1 maintainer concern(s) found
Author "Amazon Web Services" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Build a simple Python application using the awslabs.cloudwatch-mcp-server package to demonstrate its core features.
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