🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits elevated shell risk due to potential unsanitized shell command execution, which could lead to security vulnerabilities. While there are no clear signs of credential harvesting or malicious obfuscation, the overall risk is elevated.

High shell risk due to potential unsanitized shell command execution
No evidence of credential harvesting or malicious intent

Per-check LLM notes

Network: Network calls to external services might be legitimate if the package is designed for API interactions.
Shell: Executing shell commands can pose significant risks if not properly sanitized, potentially leading to unauthorized command execution.
Obfuscation: Base64 decoding is commonly used for data serialization and not inherently malicious.
Credentials: No patterns indicative of credential harvesting were detected.
Metadata: The author has only one package, suggesting a potentially new or less active account, but no other red flags are present.

📦 Package Quality Overall: Medium (6.2/10)

✦ High Test Suite 9.0

Test suite present — 9 test file(s) found

Test runner config found: pyproject.toml
9 test file(s) detected (e.g. test_cli.py)

◈ Medium Documentation 5.0

Some documentation present

Detailed PyPI description (3612 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

178 type-annotated function signatures detected in source

✦ High Multiple Contributors 10.0

Active multi-contributor project

5 unique contributor(s) across 21 commits in aliyun/alibabacloud-api-mcp-server
Active community — 5 or more distinct contributors

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

try: http_client = httpx.AsyncClient( headers=headers, timeout=httpx.Time

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

content=base64.b64decode(item.blob), mime_type=item.mimeType,

⚠ Shell / Subprocess Execution score 4.0

Found 2 shell execution pattern(s)

ess[str]: completed = subprocess.run( self._command, shell=True,
self._command, shell=True, text=True, capture_output=True,

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository aliyun/alibabacloud-api-mcp-server appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "Alibaba Cloud" 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 alibabacloud.mcp-proxy

Develop a command-line utility named 'MCP-CLI' using Python that allows users to interact with Alibaba Cloud's MCP (Multi-Cloud Platform) services through a local stdio proxy. This utility should streamline the process of managing cloud resources across different regions and services by providing a unified interface. Here’s a detailed breakdown of the project requirements:

1. **Project Setup**: Begin by setting up a virtual environment for your project. Install the necessary dependencies including the `alibabacloud.mcp-proxy` package.
2. **Authentication**: Implement a secure method for users to authenticate their Alibaba Cloud account credentials (Access Key ID and Access Key Secret). Store these securely within the utility without exposing them in plain text.
3. **Command Interface**: Design a simple yet powerful command-line interface where users can input commands to perform actions like listing available services, regions, and resources; starting, stopping, and managing instances; and more.
4. **Local Proxy Integration**: Utilize the `alibabacloud.mcp-proxy` package to set up a local stdio proxy that communicates with Alibaba Cloud's MCP servers. Ensure this proxy efficiently handles requests and responses between the CLI and the cloud services.
5. **Resource Management**: Allow users to manage various types of cloud resources such as ECS instances, RDS databases, OSS buckets, etc., through the CLI. Provide commands for common tasks like creating, deleting, and modifying resources.
6. **Output Formatting**: Enhance user experience by formatting output data in a readable manner. Support options for JSON, table, and custom formats.
7. **Error Handling & Logging**: Implement robust error handling to provide meaningful error messages and logs for debugging purposes. Logs should capture all interactions with the MCP server and any errors encountered during execution.
8. **Documentation**: Write comprehensive documentation explaining how to install, configure, and use the CLI. Include examples and best practices for interacting with MCP services.

This project aims to simplify the interaction with Alibaba Cloud MCP services, making it easier for developers and system administrators to manage their cloud infrastructure from a single command-line tool.