awslabs.lambda-tool-mcp-server

v2.0.19 safe
4.0
Medium Risk

An AWS Labs Model Context Protocol (MCP) server for AWS Lambda Tools

🤖 AI Analysis

Final verdict: SAFE

The package appears safe based on the analysis. While there are some concerns regarding credential handling and metadata, these do not strongly indicate malicious intent.

  • Low network and shell execution risks
  • Common obfuscation techniques observed
  • Credentials retrieved from environment variables
Per-check LLM notes
  • Network: No network calls detected, which is not unusual if the package does not require external communications.
  • Shell: No shell execution patterns detected, indicating the package likely does not execute external commands.
  • Obfuscation: The observed pattern is a common method for extending package paths and not indicative of malicious obfuscation.
  • Credentials: The code snippet retrieves environment variables for AWS credentials and logs them, which is typical for applications interfacing with AWS services but should be handled securely to prevent exposure.
  • Metadata: The author has only one package, which might indicate a new or less active account, raising some suspicion but not enough to conclude malice.

📦 Package Quality Overall: Medium (6.6/10)

✦ High Test Suite 9.0

Test suite present — 10 test file(s) found

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

Some documentation present

  • Documentation URL: "Documentation" -> https://awslabs.github.io/mcp/servers/lambda-tool-mcp-server
  • Detailed PyPI description (9911 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

  • 11 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)

  • gger(__name__) AWS_PROFILE = os.environ.get('AWS_PROFILE', 'default') logger.info(f'AWS_PROFILE: {AWS_PROFILE
  • {AWS_PROFILE}') AWS_REGION = os.environ.get('AWS_REGION', 'us-east-1') logger.info(f'AWS_REGION: {AWS_REGION}
✓ 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.lambda-tool-mcp-server 
Create a mini-application that allows users to manage AWS Lambda functions using the Model Context Protocol (MCP) through the 'awslabs.lambda-tool-mcp-server' package. This application will serve as a command-line interface (CLI) tool that simplifies the process of deploying, monitoring, and managing Lambda functions across different environments such as development, staging, and production.

### Key Features:
1. **Function Deployment**: Users should be able to upload their Lambda function code along with necessary dependencies to AWS Lambda.
2. **Environment Management**: Support for switching between different environments (dev, stage, prod) with environment-specific configurations.
3. **Monitoring & Logging**: Provide real-time logs and performance metrics for deployed Lambda functions.
4. **Security**: Implement role-based access control (RBAC) to ensure that only authorized users can perform certain actions on the Lambda functions.
5. **Customization**: Allow users to customize their Lambda functions with environment variables and other settings before deployment.
6. **Version Control**: Enable versioning of Lambda functions to track changes over time.
7. **Integration Testing**: Offer an option to run integration tests on the Lambda function before deploying it to a live environment.

### How to Utilize 'awslabs.lambda-tool-mcp-server':
- Use the MCP server provided by 'awslabs.lambda-tool-mcp-server' to handle communication between your CLI tool and AWS Lambda services.
- Implement the MCP protocol to facilitate context-aware execution of Lambda functions, which can include setting up model contexts, handling model lifecycle events, etc.
- Leverage the package's capabilities to streamline the management of Lambda functions, making it easier for developers to focus on writing code rather than managing infrastructure.

💬 Discussion Feed

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