awslabs.memcached-mcp-server

v1.0.18 safe
2.0
Low Risk

An AWS Labs Model Context Protocol (MCP) server for Amazon ElastiCache Memcached

🤖 AI Analysis

Final verdict: SAFE

The package shows low risk indicators across all checks performed, with no signs of malicious behavior or supply-chain attack.

  • No network calls detected
  • No shell execution patterns detected
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communication.
  • Shell: No shell execution patterns detected, indicating no immediate risk of command injection or similar attacks.
  • Obfuscation: The observed pattern is commonly used for extending package paths and does not inherently indicate malicious activity.
  • Credentials: No suspicious patterns related to credential harvesting were detected.
  • Metadata: The author has only one package, which may indicate a new or less active account, but no other suspicious flags were raised.

📦 Package Quality Overall: Medium (6.6/10)

✦ High Test Suite 9.0

Test suite present — 5 test file(s) found

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

Some documentation present

  • Documentation URL: "docs" -> https://awslabs.github.io/mcp/servers/memcached-mcp-server/
  • Detailed PyPI description (7482 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

  • 21 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: gmail.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.memcached-mcp-server 
Create a mini-application called 'MemCacheManager' that utilizes the 'awslabs.memcached-mcp-server' Python package to manage data in an Amazon ElastiCache Memcached instance. This application should provide users with the ability to store, retrieve, and delete key-value pairs efficiently, leveraging the power of Memcached for caching purposes. Additionally, the application should include features such as setting expiration times for cached items, retrieving multiple keys at once, and monitoring cache hit rates.

Steps to Build the Application:
1. Set up an Amazon ElastiCache Memcached cluster and obtain the necessary connection details.
2. Install the 'awslabs.memcached-mcp-server' package using pip.
3. Write a function to connect to your Memcached instance using the package.
4. Implement functions to set, get, and delete key-value pairs from the cache.
5. Add functionality to set expiration times for cached items.
6. Develop a feature to retrieve multiple keys simultaneously.
7. Create a method to monitor cache hit rates and display them to the user.
8. Design a simple command-line interface or web-based UI for interacting with the application.
9. Test the application thoroughly with various scenarios to ensure reliability and performance.

Suggested Features:
- Support for setting different types of values (strings, integers, lists).
- Option to specify custom error handling mechanisms.
- Ability to flush all items from the cache at once.
- Logging of operations for auditing and debugging purposes.
- Integration with AWS CloudWatch for monitoring and alerting based on cache performance metrics.

How to Utilize 'awslabs.memcached-mcp-server':
- Use the package to establish a secure connection to your Memcached instance.
- Leverage its methods for setting, getting, and deleting keys to implement the core functionalities of your application.
- Take advantage of the MCP protocol support provided by the package to enhance the interaction between your application and the Memcached service.

💬 Discussion Feed

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