awslabs.ecs-mcp-server

v0.1.29 safe
4.0
Medium Risk

AWS ECS MCP Server for automating containerization and deployment of web applications to AWS ECS

🤖 AI Analysis

Final verdict: SAFE

The package appears to serve legitimate purposes related to ECS management, with risks primarily stemming from standard operational practices rather than suspicious activity.

  • Standard shell execution for Docker interaction
  • Potential credential logging issue
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require internet access.
  • Shell: Detection of shell execution suggests the package interacts with Docker for building and pushing images, which aligns with its presumed functionality related to ECS services.
  • Obfuscation: The presence of base64 decoding suggests some form of data encoding, but it's common for applications to decode tokens; this alone does not indicate malicious intent.
  • Credentials: Accessing environment variables for AWS credentials is standard practice when interacting with AWS services. However, logging the AWS profile could pose a risk if the logs are not secured.
  • Metadata: The maintainer has an incomplete profile and may be new or inactive, raising some suspicion but not conclusive evidence of malice.

📦 Package Quality Overall: High (8.0/10)

✦ High Test Suite 9.0

Test suite present — 30 test file(s) found

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

Some documentation present

  • Documentation URL: "Documentation" -> https://awslabs.github.io/mcp/servers/ecs-mcp-server/
  • Detailed PyPI description (22246 chars)
✦ High Contributing Guide 9.0

Has contribution guidelines and governance files

  • Governance file: security.py
  • Development Status classifier >= Beta
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 108 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 6.0

Found 3 obfuscation pattern(s)

  • import base64 decoded = base64.b64decode(token).decode("utf-8") username, password = decoded.spli
  • ] decoded_token = base64.b64decode(auth_token).decode("utf-8") # The token is in t
  • amespace packages. __path__ = __import__("pkgutil").extend_path(__path__, __name__) # Copyright Amazon.com, In
⚠ Shell / Subprocess Execution score 10.0

Found 6 shell execution pattern(s)

  • docker_login_result = subprocess.run( docker_login_cmd, input=ecr_passwor
  • ") build_result = subprocess.run( buildx_cmd, capture_output=True, text=True,
  • ") build_result = subprocess.run( build_cmd, capture_output=True, text=True,
  • tag}"] push_result = subprocess.run( push_cmd, capture_output=True, text=True, shell
  • le]) verify_result = subprocess.run( verify_cmd, capture_output=True, text=True, she
  • g.get("env", {})} proc = subprocess.Popen( command, stdin=subprocess.PIPE, std
⚠ Credential Harvesting score 10.0

Found 6 credential access pattern(s)

  • if not in cache region = os.environ.get("AWS_REGION", "us-east-1") profile = os.environ.get("AWS_PROF
  • ", "us-east-1") profile = os.environ.get("AWS_PROFILE", "default") logger.info(f"Using AWS profile: {p
  • r_role(role_arn) region = os.environ.get("AWS_REGION", "us-east-1") logger.info(f"Creating {service_n
  • fig = { "aws_region": os.environ.get("AWS_REGION", "us-east-1"), "aws_profile": os.environ.get
  • t-1"), "aws_profile": os.environ.get("AWS_PROFILE", None), "log_level": os.environ.get("FASTMC
  • account_id() region = os.environ.get("AWS_REGION", "us-east-1") profile = os.environ.get("AWS_
✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: amazon.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository awslabs/mcp appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" 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.ecs-mcp-server 
Create a fully functional mini-application that streamlines the process of deploying a simple Flask web application onto Amazon Elastic Container Service (ECS). This application will serve as a user-friendly interface for developers to easily containerize their Flask applications and deploy them directly to ECS using the 'awslabs.ecs-mcp-server' package. Here’s a detailed breakdown of what your application should include:

1. **User Interface**: Develop a clean and intuitive web-based UI where users can input their Flask application details such as Dockerfile paths, required environment variables, and desired ECS task definitions.
2. **Containerization Automation**: Utilize 'awslabs.ecs-mcp-server' to automatically handle the Docker image creation and uploading to Amazon ECR (Elastic Container Registry).
3. **Deployment Process**: Once the Docker images are uploaded, the application should use 'awslabs.ecs-mcp-server' to configure and launch the ECS tasks that run these containers.
4. **Monitoring & Logs**: Integrate monitoring capabilities to track the status of deployed containers in real-time. Provide access to logs from the running containers through the UI.
5. **Security Features**: Ensure all interactions with AWS services are secure by implementing IAM roles and policies that limit permissions only to necessary actions required for container deployment.
6. **Documentation**: Create comprehensive documentation detailing how to set up the application, including prerequisites, installation steps, and usage guidelines.

The goal is to create a tool that significantly reduces the complexity involved in deploying Flask applications on ECS, making it accessible even to those less familiar with cloud infrastructure management.

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