awslabs.amazon-sns-sqs-mcp-server

v2.0.20 safe
2.0
Low Risk

A Model Context Protocol server for Amazon SNS and SQS to provision and manage your messaging services

🤖 AI Analysis

Final verdict: SAFE

The package appears secure with low risks across all assessed categories. The credential handling could be improved for better security practices.

  • Low network and shell execution risks
  • Potential for improvement in secure credential management
Per-check LLM notes
  • Network: No network calls detected, which is not typical for AWS-related packages but may be due to the package design or testing environment.
  • Shell: No shell execution patterns detected, indicating no immediate risk of executing arbitrary commands.
  • Obfuscation: The observed pattern is a standard method for extending package paths and does not indicate malicious obfuscation.
  • Credentials: The code snippet retrieves AWS credentials from environment variables, which is a common practice but should be handled securely to prevent unauthorized access.
  • Metadata: The author has only one package, suggesting a potentially new or less active account, but no other suspicious elements were found.

📦 Package Quality Overall: Medium (6.6/10)

✦ High Test Suite 9.0

Test suite present — 6 test file(s) found

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

Some documentation present

  • Documentation URL: "Documentation" -> https://awslabs.github.io/mcp/servers/amazon-sns-sqs-mcp-ser
  • Detailed PyPI description (7831 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

  • 17 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 score 5.0

Found 2 credential access pattern(s)

  • ts: aws_profile = os.environ.get('AWS_PROFILE', 'default') self.clients[client_key] =
  • e): aws_profile = os.environ.get('AWS_PROFILE', 'default') return boto3.Session(profil
✓ 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.amazon-sns-sqs-mcp-server 
Create a mini-application called 'MessageBrokerManager' that leverages the 'awslabs.amazon-sns-sqs-mcp-server' package to streamline the management of AWS SNS and SQS resources. This application will serve as a tool for developers and DevOps engineers to easily create, update, delete, and monitor their messaging services without needing to manually configure them through the AWS console.

Step-by-Step Application Requirements:
1. **Setup**: Begin by setting up the environment to use the 'awslabs.amazon-sns-sqs-mcp-server'. Ensure that the necessary AWS credentials are configured correctly to allow the application to interact with AWS services.
2. **Resource Management**:
   - Implement functionalities to create new SNS topics and SQS queues based on user-defined specifications.
   - Provide options to modify existing topics and queues, including updating attributes such as visibility timeout, message retention period, etc.
   - Develop deletion functionality for both SNS topics and SQS queues.
3. **Monitoring and Notifications**:
   - Integrate real-time monitoring capabilities to track the status of messages in queues and subscriptions to topics.
   - Enable users to set up notifications when certain conditions are met (e.g., queue size exceeds a threshold).
4. **User Interface**: Design a simple command-line interface (CLI) for the application. The CLI should provide clear prompts and commands for users to interact with the messaging services efficiently.
5. **Security**: Incorporate security measures to protect sensitive information. For example, encrypting data at rest and in transit, and ensuring that only authorized users can access specific resources.
6. **Documentation**: Create comprehensive documentation that guides users through the setup process, explains each feature, and provides examples of how to use the application effectively.

Utilization of 'awslabs.amazon-sns-sqs-mcp-server':
- Use the MCP server provided by 'awslabs.amazon-sns-sqs-mcp-server' to handle the underlying communication between the application and AWS SNS/SQS services. This includes provisioning new resources, modifying existing ones, and managing their lifecycle.
- Leverage the package's capabilities to simplify the interaction with complex AWS APIs, making it easier for developers to focus on higher-level logic within the 'MessageBrokerManager' application.
- Explore advanced features of the package, such as model context protocols, to enhance the application's performance and scalability.

💬 Discussion Feed

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