airspace-monitor-mcp

v1.0.6 suspicious
4.0
Medium Risk

Airspace Monitor MCP server. Tools: check airspace, get no fly zones, get drone regulations. Built by MEOK AI Labs.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits low risks in network calls, shell execution, obfuscation, and credential harvesting. However, the metadata risk score suggests potential issues with package activity and completeness, making it suspicious.

  • Metadata risk at 6 out of 10
  • Potential low activity and incomplete metadata
Per-check LLM notes
  • Network: The network call is likely for health checking to a local service and does not indicate malicious activity.
  • Shell: No shell execution patterns were detected, indicating low risk.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
  • Credentials: No credential harvesting patterns detected, indicating low risk of secret theft.
  • Metadata: The package shows signs of potential low activity and incomplete metadata, raising some suspicion but not conclusive evidence of malice.

📦 Package Quality Overall: Low (4.8/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • 1 test file(s) detected (e.g. test_server.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (3729 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

  • 16 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 6.0

Limited contributor diversity

  • 2 unique contributor(s) across 43 commits in CSOAI-ORG/airspace-monitor-mcp
  • Two distinct contributors found

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • try: resp = urllib.request.urlopen("http://localhost:8000/health", timeout=2)
✓ Code Obfuscation

No obfuscation patterns detected

✓ 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: meok.ai>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 2.5

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
⚠ 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 airspace-monitor-mcp 
Create a Python-based mini-application called 'DroneNavigator' which integrates the 'airspace-monitor-mcp' package from MEOK AI Labs to provide real-time information about airspace conditions and regulations for drone operators. This application will serve as a valuable tool for hobbyists and professionals alike who need to ensure they comply with local and international laws while flying their drones. Here’s a detailed outline of the project requirements and functionalities:

1. **User Interface**: Design a simple yet intuitive command-line interface (CLI) or a basic web interface using Flask. Users should be able to input their location (latitude and longitude) and receive information about nearby no-fly zones, restricted airspace, and any relevant drone regulations.

2. **Core Features**:
   - **No-Fly Zone Detection**: Use the 'airspace-monitor-mcp' package to fetch and display all no-fly zones within a specified radius around the user's location.
   - **Airspace Restrictions**: Provide details on any airspace restrictions such as military exercises, special events, etc., that might affect drone operations in the vicinity.
   - **Regulatory Compliance**: Display key regulations and guidelines related to drone usage at the given location, including height limits, registration requirements, and operational permissions.

3. **Advanced Features**:
   - **Geographical Visualization**: Integrate with a mapping service (like Leaflet.js) to visually represent the data on a map, highlighting no-fly zones and other critical areas.
   - **Alert System**: Implement a feature where users can set up alerts for changes in airspace conditions or new regulations that might impact their planned flight paths.
   - **Historical Data**: Offer access to historical data on airspace conditions, allowing users to plan flights based on past trends and patterns.

4. **Implementation Steps**:
   - Set up your development environment with Python and necessary libraries including 'airspace-monitor-mcp'.
   - Define functions to interact with the 'airspace-monitor-mcp' API, handling both CLI inputs and web requests.
   - Develop the frontend interface, ensuring it is responsive and user-friendly.
   - Test the application thoroughly with different locations and scenarios to ensure accuracy and reliability of the information provided.

5. **Testing & Deployment**:
   - Conduct unit tests for each function to validate the correctness of data retrieval and processing.
   - Deploy the application either as a standalone CLI tool or a web app accessible via a URL.

By completing this project, you'll gain hands-on experience with integrating third-party APIs, developing user interfaces, and working with geographical data.

💬 Discussion Feed

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