arrowshield-mcp

v0.1.3 suspicious
4.0
Medium Risk

ArrowShield MCP server

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows moderate risk due to potential shell execution risks and the maintainer's lack of a linked GitHub repository, indicating possible early-stage malicious intent or supply-chain attack.

  • High shell risk due to Git command execution
  • Maintainer lacks a linked GitHub repository
Per-check LLM notes
  • Network: The network calls are likely for legitimate API interactions, but further investigation is needed to confirm the endpoints and data exchanged.
  • Shell: The shell execution pattern suggests the package may execute Git commands, which could be risky if it's interacting with external repositories or executing arbitrary code.
  • Obfuscation: No obfuscation patterns detected, suggesting low risk of malicious activity.
  • Credentials: No credential harvesting patterns detected, indicating low risk of secret theft.
  • Metadata: The maintainer has a new or inactive PyPI account and lacks a GitHub repository link, which may indicate potential risk.

📦 Package Quality Overall: Low (3.8/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

  • Test runner config found: pyproject.toml
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (1854 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

  • 38 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

⚠ Outbound Network Calls score 6.0

Found 4 network call pattern(s)

  • str, Any]: async with httpx.AsyncClient(base_url=self._base_url, timeout=_TIMEOUT) as c:
  • = severity async with httpx.AsyncClient(base_url=self._base_url, timeout=_TIMEOUT) as c:
  • ss, …).""" async with httpx.AsyncClient(base_url=self._base_url, timeout=_TIMEOUT) as c:
  • """ async with httpx.AsyncClient(base_url=self._base_url, timeout=_TIMEOUT) as c:
✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 2.0

Found 1 shell execution pattern(s)

  • e.""" try: proc = subprocess.run( ["git", *args], cwd=cwd,
✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "ArrowShield" 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 arrowshield-mcp 
Create a fully-functional mini-application called 'MCP Monitor' that leverages the ArrowShield MCP server package to monitor and manage multiple ArrowShield MCP servers efficiently. This application will serve as a centralized dashboard where users can control, monitor, and troubleshoot their ArrowShield MCP servers from a single interface.

### Core Features:
1. **Server Management**: Allow users to add, remove, and configure ArrowShield MCP servers within the application. Users should be able to specify server details such as IP address, port, and authentication credentials.
2. **Real-Time Monitoring**: Implement real-time monitoring of server status, including CPU usage, memory usage, and network activity. Display these metrics in a user-friendly graphical format, such as charts or gauges.
3. **Alert System**: Set up an alert system that notifies users via email or SMS when certain thresholds are exceeded, such as high CPU usage or low memory availability.
4. **Log Analysis**: Integrate a log analysis feature that parses and displays logs from each server in a structured format. Users should be able to filter logs based on time, severity, and keywords.
5. **Remote Commands**: Enable users to send remote commands to servers directly from the application interface. These commands could include restarting services, updating configurations, or running diagnostics.
6. **User Interface**: Design a clean, intuitive user interface that allows easy navigation between different features and settings. Use modern web technologies like React or Vue.js for the front-end.

### Utilizing ArrowShield MCP Package:
- Use the `arrowshield-mcp` package to establish secure connections with each ArrowShield MCP server.
- Leverage the package’s APIs to retrieve server statistics, manage configurations, and execute commands remotely.
- Implement error handling and logging mechanisms provided by the package to ensure robustness and reliability of the application.

### Development Steps:
1. **Setup Project Environment**: Initialize a new Python project and install necessary dependencies, including the `arrowshield-mcp` package.
2. **Design Database Schema**: Plan out the database schema to store server information, user settings, and logs.
3. **Develop Backend Logic**: Write backend logic using Python and Flask/Django to handle server communication, data retrieval, and command execution.
4. **Build Frontend Interface**: Create the frontend interface using React/Vue.js to interact with the backend API and display real-time data.
5. **Implement Alert System**: Develop an alert system that sends notifications based on predefined conditions.
6. **Test and Debug**: Thoroughly test the application for bugs and performance issues, fixing them before deployment.
7. **Deploy Application**: Deploy the application on a cloud platform like AWS or Heroku, ensuring it is scalable and secure.

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