amazon-ads-mcp

v0.3.19 suspicious
4.0
Medium Risk

Amazon Ads API MCP Server - Implementation for Amazon Advertising API

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows moderate risks due to network and shell execution capabilities, though no definitive signs of malicious activity were found. The low credential risk score is reassuring, but the metadata risk remains elevated.

  • moderate network risk
  • potential shell execution
  • presence of obfuscation techniques
  • elevated metadata risk
Per-check LLM notes
  • Network: Network calls are common for packages interacting with external services like Amazon's API.
  • Shell: Shell execution may be used for version control operations but requires caution as it can execute arbitrary commands.
  • Obfuscation: The presence of base64 decoding suggests possible obfuscation, but it could also be legitimate use for data encoding or decryption purposes.
  • Credentials: No clear patterns indicating credential harvesting were detected.
  • Metadata: Suspicious non-HTTPS link and single package maintainer indicate potential risk, but insufficient evidence for high confidence.

📦 Package Quality Overall: Low (3.8/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: pyproject.toml
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (42791 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

  • 421 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

⚠ Outbound Network Calls score 3.0

Found 2 network call pattern(s)

  • =10.0) async with httpx.AsyncClient(timeout=timeout) as client: response = await
  • async with httpx.AsyncClient(timeout=timeout) as client: response
⚠ Code Obfuscation score 4.0

Found 2 obfuscation pattern(s)

  • encrypted_bytes = base64.b64decode(encrypted_b64) # Decrypt the data d
  • d) % 4) decoded = base64.b64decode(padded).decode("utf-8") if "," in decoded:
⚠ Shell / Subprocess Execution score 2.0

Found 1 shell execution pattern(s)

  • > str: try: out = subprocess.check_output( ["git", "rev-parse", "HEAD"], stderr=subprocess
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

⚠ Suspicious Page Links score 2.0

Found 1 suspicious link(s) on the package page

  • Non-HTTPS external link: http://127.0.0.1:9080/mcp
✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Amazon Ads API MCP SDK" 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 amazon-ads-mcp 
Create a Python-based mini-application that leverages the 'amazon-ads-mcp' package to manage Amazon Advertising campaigns. This application will allow users to interact with their Amazon Advertising API data more efficiently. Here’s a step-by-step guide on how to develop this application:

1. **Setup**: Begin by setting up your development environment with Python installed. Install the 'amazon-ads-mcp' package using pip. Also, ensure you have the necessary AWS credentials configured.
2. **Authentication & Initialization**: Develop a feature where the user can authenticate and initialize the connection to the Amazon Advertising API through the 'amazon-ads-mcp' package. Ensure secure handling of credentials.
3. **Campaign Management**: Implement functionalities to create, update, delete, and retrieve campaign details from Amazon Advertising API. Use the 'amazon-ads-mcp' package to interact with these endpoints.
4. **Report Generation**: Allow users to generate reports based on their advertising data. This could include metrics such as impressions, clicks, and conversion rates. Utilize the 'amazon-ads-mcp' package to fetch the required data.
5. **Dashboard**: Create a simple dashboard that visualizes the performance of different campaigns. Use libraries like Matplotlib or Plotly for visualization. The dashboard should refresh automatically with updated data fetched via the 'amazon-ads-mcp' package.
6. **Notifications**: Integrate a notification system that alerts users about important changes in their campaigns, such as significant drops in performance or new opportunities for optimization.
7. **User Interface**: Optionally, design a user-friendly interface using frameworks like Streamlit or Flask to make the application accessible to non-technical users.
8. **Documentation**: Write comprehensive documentation detailing how to install, configure, and use the application. Include examples and best practices.

By following these steps, you'll create a powerful tool that streamlines the management of Amazon Advertising campaigns, making it easier for marketers to optimize their ad spend and improve ROI.

💬 Discussion Feed

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