AI Analysis
The package shows low risk indicators with no suspicious network or shell activities. The minor obfuscation and credential risks are benign and commonly seen in legitimate software.
- No network calls detected
- Environment variables are used for configuration
Per-check LLM notes
- Network: No network calls detected, which is typical for packages not requiring external communications.
- Shell: No shell execution patterns detected, indicating the package does not execute system commands.
- Obfuscation: The observed pattern is a common practice to extend package paths and does not indicate malicious obfuscation.
- Credentials: Environment variable retrieval for configuration purposes appears standard and is likely used for legitimate operations rather than credential harvesting.
- Metadata: The author has only one package, suggesting a new or less active account, but no other red flags are present.
Package Quality Overall: Medium (6.6/10)
Test suite present — 10 test file(s) found
Test runner config found: conftest.pyTest runner config found: pyproject.toml10 test file(s) detected (e.g. __init__.py)
Some documentation present
Documentation URL: "Documentation" -> https://awslabs.github.io/mcp/servers/aws-pricing-mcp-serverDetailed PyPI description (6556 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
52 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 1 obfuscation pattern(s)
amespace packages. __path__ = __import__('pkgutil').extend_path(__path__, __name__) # Copyright Amazon.com, In
No shell execution patterns detected
Found 2 credential access pattern(s)
nment parameters AWS_REGION = os.environ.get('AWS_REGION', 'us-east-1') AWS_PROFILE = os.environ.get('AWS_PROF', 'us-east-1') AWS_PROFILE = os.environ.get('AWS_PROFILE') PRICING_ENDPOINT = os.environ.get('PRICING_ENDPOIN
No typosquatting candidates detected
Email domain looks legitimate: users.noreply.github.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
Create a Python-based command-line tool that allows users to query and display the current pricing information for various AWS services. This tool will utilize the 'awslabs.aws-pricing-mcp-server' package to fetch pricing data from the AWS Model Context Protocol (MCP) server. Your application should include the following features: 1. **Service Selection**: Users should be able to select one or multiple AWS services for which they want to retrieve pricing information. 2. **Region Filtering**: Provide an option for users to filter pricing information based on specific AWS regions. 3. **Currency Conversion**: Implement currency conversion functionality so that users can view prices in their preferred currency. 4. **Pricing Details**: Display detailed pricing information such as On-Demand, Reserved Instances, Savings Plans, etc., if available. 5. **Output Formats**: Allow users to choose between different output formats like JSON, CSV, or plain text. 6. **Rate Limiting and Throttling**: Ensure your application handles rate limiting and throttling gracefully when querying the MCP server. 7. **Error Handling**: Implement robust error handling to manage network issues, invalid inputs, and other potential errors. Your task is to design and implement this tool, ensuring it is user-friendly and efficient. Utilize the 'awslabs.aws-pricing-mcp-server' package to connect to the AWS MCP server and fetch the required pricing data. Document your code thoroughly and provide clear instructions on how to install and run your application.
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