awslabs.iam-mcp-server

v1.0.20 safe
3.0
Low Risk

An AWS Labs Model Context Protocol (MCP) server for managing AWS IAM resources including users, roles, policies, and permissions

🤖 AI Analysis

Final verdict: SAFE

The package shows low risks across all categories analyzed, with no signs of network calls, shell execution, or credential harvesting. The moderate metadata and obfuscation risks do not raise significant concerns.

  • Low risk scores across all categories
  • No detected network calls or shell executions
  • Maintainer has only one package, indicating possibly new or less active account
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require internet access.
  • Shell: No shell execution patterns detected, indicating no unexpected system command executions.
  • Obfuscation: The observed pattern is a common method for extending package paths and does not inherently indicate malicious intent.
  • Credentials: No patterns indicative of credential harvesting were found.
  • Metadata: The maintainer has only one package, which may indicate a new or less active account, but no other red flags are present.

📦 Package Quality Overall: Medium (6.6/10)

✦ High Test Suite 9.0

Test suite present — 4 test file(s) found

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

Some documentation present

  • Documentation URL: "docs" -> https://awslabs.github.io/mcp/servers/iam-mcp-server/
  • Detailed PyPI description (20033 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

  • 45 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

No credential harvesting patterns detected

✓ 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.iam-mcp-server 
Create a Python-based mini-application named 'IAM Manager' that leverages the 'awslabs.iam-mcp-server' package to manage AWS Identity and Access Management (IAM) resources efficiently. Your goal is to build a user-friendly interface where administrators can easily create, update, delete, and query IAM users, roles, policies, and permissions directly from the command line or a web interface.

### Key Features:
1. **User Management:** Allow users to create new IAM users, set their access keys, and manage their security credentials.
2. **Role Management:** Enable administrators to define new roles, attach policies to these roles, and manage role trust relationships.
3. **Policy Management:** Provide tools to create, modify, and delete IAM policies, ensuring they align with the organization's security standards.
4. **Permission Management:** Implement functionality to manage permissions attached to users and roles, including listing and updating permissions.
5. **Query Interface:** Develop a robust query mechanism to retrieve information about existing IAM resources, such as user details, role policies, and permission sets.
6. **Security Best Practices:** Ensure all operations follow best practices for IAM management, including secure handling of credentials and minimizing permission scope.
7. **Logging and Auditing:** Integrate logging capabilities to track all changes made through the application, aiding in compliance and auditing processes.
8. **Web Interface (Optional):** As an advanced feature, consider building a simple web interface using Flask or Django, allowing non-technical users to interact with the IAM resources more intuitively.

### Utilization of 'awslabs.iam-mcp-server':
- Use the 'awslabs.iam-mcp-server' package as the backend service to handle all IAM resource interactions, ensuring seamless integration with AWS services.
- Leverage the package's functionalities to authenticate requests, manage sessions, and securely transmit data between the client and the AWS IAM service.
- Implement error handling and exception management within your application to gracefully deal with any issues arising from the interaction with the AWS IAM service via 'awslabs.iam-mcp-server'.
- Ensure that your application provides clear, concise feedback to users about the status of their IAM operations, making it easy to diagnose and resolve issues.

Your task is to design and implement this mini-application, paying close attention to usability, security, and efficiency. Document your development process and provide clear instructions for deploying and running the application.

💬 Discussion Feed

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