awslabs.elasticache-mcp-server

v0.1.20 safe
3.0
Low Risk

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

🤖 AI Analysis

Final verdict: SAFE

The package appears to be legitimate based on the analysis of its risk factors. It has no network or shell execution risks, and its use of environment variables for AWS credentials is standard practice.

  • No network calls detected.
  • No shell execution patterns detected.
Per-check LLM notes
  • Network: No network calls detected, which is normal for a package that does not require external communication.
  • Shell: No shell execution patterns detected, indicating the package does not execute system commands.
  • Obfuscation: The observed pattern is a common method for extending the search path for packages in Python and does not indicate malicious intent.
  • Credentials: The code is retrieving AWS credentials from environment variables, which is a standard practice for configuring AWS SDKs and services, indicating legitimate use rather than credential harvesting.
  • Metadata: The author has only one package on PyPI, which may indicate a new or less active account.

📦 Package Quality Overall: Medium (6.6/10)

✦ High Test Suite 9.0

Test suite present — 18 test file(s) found

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

Some documentation present

  • Documentation URL: "docs" -> https://awslabs.github.io/mcp/servers/elasticache-mcp-server
  • Detailed PyPI description (11268 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

  • 52 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)

  • ent aws_profile = os.environ.get('AWS_PROFILE', 'default') aws_region = os.environ.get
  • lt') aws_region = os.environ.get('AWS_REGION', 'us-east-1') # Configure retry setting
✓ 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.elasticache-mcp-server 
Create a mini-application called 'ElastiCache Monitor' that leverages the 'awslabs.elasticache-mcp-server' package to monitor and manage data within an Amazon ElastiCache cluster. This application should provide real-time monitoring of cache performance metrics such as hit rates, miss rates, and latency, and also allow users to perform basic management tasks like flushing all keys from the cache or setting/getting specific keys.

Step 1: Set up an Amazon ElastiCache Redis cluster in your AWS account if you haven't already.
Step 2: Install the 'awslabs.elasticache-mcp-server' package along with any other necessary Python packages such as boto3 for AWS interactions and Flask for the web interface.
Step 3: Develop a Flask-based web application that connects to your ElastiCache cluster using the 'awslabs.elasticache-mcp-server'.
Step 4: Implement endpoints for fetching cache statistics such as hit rate, miss rate, and latency. Use these endpoints to display real-time graphs and charts on the web interface.
Step 5: Add functionality to set and get specific keys in the cache through the web interface.
Step 6: Include an endpoint to flush all keys from the cache, ensuring there's proper authentication before allowing this action.
Step 7: Ensure the application logs all actions taken, including times when keys were set or flushed, for auditing purposes.

Suggested Features:
- Real-time graphing of cache performance metrics using JavaScript libraries like Chart.js.
- User authentication and role-based access control to ensure only authorized users can manage the cache.
- Notifications via email/SMS when certain thresholds are exceeded (e.g., hit rate drops below a specified percentage).
- Ability to export cache statistics into CSV or JSON formats for further analysis.

The 'awslabs.elasticache-mcp-server' package will primarily be used to facilitate communication between the Flask application and the ElastiCache cluster, enabling the retrieval and manipulation of cached data.

💬 Discussion Feed

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