awslabs.aws-appsync-mcp-server

v0.1.14 safe
3.0
Low Risk

An AWS Labs Model Context Protocol (MCP) server for AWS AppSync Service capabilities

🤖 AI Analysis

Final verdict: SAFE

The package shows low risk indicators across all categories except for a moderate credential risk due to fetching AWS credentials from environment variables. There are no signs of malicious activity or supply-chain attacks.

  • moderate credential risk
  • low network and shell execution risks
Per-check LLM notes
  • Network: No network calls detected, which is expected for a package that does not require external AWS API interactions.
  • Shell: No shell execution patterns detected, indicating no direct system command execution from the package.
  • Obfuscation: The observed pattern is a common method for extending the search path for modules in Python and does not indicate malicious obfuscation.
  • Credentials: The code snippet appears to be fetching AWS credentials from environment variables, which is a standard practice for secure credential management but could pose risks if not properly secured.
  • Metadata: The author has only one package, suggesting it might be 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 — 18 test file(s) found

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

Some documentation present

  • Documentation URL: "docs" -> https://awslabs.github.io/mcp/servers/aws-appsync-mcp-server
  • Detailed PyPI description (11802 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

  • 23 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)

  • ion( profile_name=os.getenv('AWS_PROFILE'), region_name=os.getenv('AWS_REGION', 'us-east-1')
  • v('AWS_PROFILE'), region_name=os.getenv('AWS_REGION', 'us-east-1') ) return session.clien
✓ 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.aws-appsync-mcp-server 
Create a real-time stock market data feed application using the 'awslabs.aws-appsync-mcp-server' Python package. This application will serve as a demonstration of how to integrate real-time data streaming into a web-based application using AWS AppSync and the Model Context Protocol (MCP). Your task is to develop a system that fetches live stock market data from an external API, processes it, and streams it to users through a web interface in real-time.

Steps to achieve this:
1. Set up an AWS AppSync service instance configured to work with the MCP server provided by the 'awslabs.aws-appsync-mcp-server' package.
2. Integrate a Python backend that fetches real-time stock market data from an API such as IEX Cloud or Alpha Vantage. Ensure your backend is capable of handling multiple stock symbols at once.
3. Use the MCP server to manage the context of each user's subscription to specific stocks. The server should be able to track which stocks each user is interested in and update them accordingly when new data is available.
4. Implement a simple web frontend using JavaScript (with frameworks like React or Vue.js) that connects to your AWS AppSync service and displays the live stock prices for subscribed stocks.
5. Add features to allow users to subscribe/unsubscribe to different stocks directly from the frontend.
6. Ensure the application handles errors gracefully, providing feedback to users if there's a problem fetching data or connecting to the service.
7. Document all setup steps and configurations required to run the application locally and on AWS.

Suggested Features:
- Real-time updates of stock prices.
- User authentication to ensure only registered users can access the data feed.
- Subscription management allowing users to select which stocks they want to monitor.
- Historical data retrieval for stocks.
- Basic charting functionality to visualize stock price movements over time.
- Notifications for significant changes in stock prices.

This project aims to showcase the power of real-time data streaming and how it can be integrated into web applications using AWS services and Python.

💬 Discussion Feed

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