awslabs.aws-location-mcp-server

v2.0.18 safe
4.0
Medium Risk

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

🤖 AI Analysis

Final verdict: SAFE

The package appears to be legitimate with minimal risks identified. It primarily focuses on AWS service interactions without making unnecessary network calls or executing shell commands.

  • No network calls detected
  • No shell execution patterns
  • AWS credential retrieval from environment variables
Per-check LLM notes
  • Network: No network calls detected, which is normal for a package focused on AWS services unless it requires external communications.
  • Shell: No shell execution patterns detected, indicating the package does not execute system commands, which is typical for a Python library.
  • Obfuscation: The observed pattern is a standard method to extend a package's search path and does not indicate malicious intent.
  • Credentials: The code retrieves AWS credentials from environment variables which is a common practice for accessing AWS services, but it poses a risk if the credentials are mishandled or exposed.

📦 Package Quality Overall: Medium (6.6/10)

✦ High Test Suite 9.0

Test suite present — 4 test file(s) found

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

Some documentation present

  • Documentation URL: "Documentation" -> https://awslabs.github.io/mcp/servers/aws-location-mcp-serve
  • Detailed PyPI description (9489 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

  • 8 type-annotated function signatures (partial)
✦ 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 10.0

Found 5 credential access pattern(s)

  • """ self.aws_region = os.environ.get('AWS_REGION', 'us-east-1') self.geo_places_client = None
  • ) aws_access_key = os.environ.get('AWS_ACCESS_KEY_ID') aws_secret_key = os.environ.get('AWS
  • ID') aws_secret_key = os.environ.get('AWS_SECRET_ACCESS_KEY') aws_session_token = os.environ.g
  • ) aws_session_token = os.environ.get('AWS_SESSION_TOKEN') try: if aws_access_key a
  • """ self.aws_region = os.environ.get('AWS_REGION', 'us-east-1') self.geo_routes_client = None
✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: users.noreply.github.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-location-mcp-server 
Create a real-time tracking application for fleet management using the 'awslabs.aws-location-mcp-server' Python package. This application will allow users to monitor the locations of vehicles in their fleet in real-time, providing insights into vehicle movement and enabling efficient route planning. The app will have the following core functionalities:

1. **Vehicle Registration**: Users can register new vehicles with unique identifiers. Each vehicle will be associated with a user account.
2. **Real-Time Tracking**: Vehicles will periodically send location updates to the MCP server. The server will process these updates and store them for retrieval.
3. **Historical Data Analysis**: Users can view historical location data of their vehicles over a specified time period to analyze patterns and optimize routes.
4. **Alert System**: The system will notify users via email or SMS if a vehicle deviates from its expected route or stops unexpectedly.
5. **Dashboard Interface**: A web-based dashboard will provide visual representations of vehicle movements, including live maps and graphs showing speed and direction changes.

**How to Use 'awslabs.aws-location-mcp-server':**
- Utilize the package to set up a server that handles context data for each vehicle, allowing for efficient processing and storage of location updates.
- Implement a client-side solution to send periodic GPS location data from vehicles to the MCP server.
- Leverage the server's capabilities to query and retrieve location data for real-time tracking and historical analysis.

Your task is to design and implement a prototype of this application, focusing on integrating the 'awslabs.aws-location-mcp-server' package effectively to handle location data efficiently. Ensure your solution includes a basic frontend for visualization and a backend that communicates with the MCP server.

💬 Discussion Feed

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