alertmanager-mcp-server

v1.2.0 suspicious
5.0
Medium Risk

MCP Server for Prometheus Alertmanager integration

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has minimal direct risks but exhibits low maintainer activity and poor metadata quality, raising concerns about its legitimacy and maintenance.

  • Metadata risk indicates low maintainer activity and poor metadata quality.
  • Overall low risk scores in other categories do not fully offset concerns from metadata.
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communications.
  • Shell: No shell execution patterns detected, indicating no immediate signs of executing system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity.
  • Credentials: No credential harvesting patterns detected, suggesting legitimate use without hidden risks.
  • Metadata: The package shows signs of low maintainer activity and poor metadata quality, which may indicate a lack of transparency or malicious intent.

📦 Package Quality Overall: Low (4.4/10)

✦ High Test Suite 9.0

Test suite present — 1 test file(s) found

  • Test runner config found: pyproject.toml
  • 1 test file(s) detected (e.g. test_server.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (9529 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

  • 15 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

No suspicious network call patterns found

✓ 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

No author email provided

⚠ Suspicious Page Links score 2.0

Found 1 suspicious link(s) on the package page

  • Non-HTTPS external link: http://your-alertmanager:9093
✓ Git Repository History

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 6.0

3 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
  • Package has no PyPI classifiers (low effort / metadata quality)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with alertmanager-mcp-server 
Create a monitoring tool named 'AlertWatcher' using Python that integrates with Prometheus Alertmanager via the 'alertmanager-mcp-server' package. This tool will serve as a bridge between your applications and Alertmanager, enabling real-time alerts and notifications. Here’s how you can structure the project:

1. **Project Setup**: Begin by setting up a virtual environment for your project and installing necessary packages, including 'alertmanager-mcp-server'. Ensure you have the latest version of Python installed.

2. **Application Design**: Design the main application class, 'AlertWatcher', which initializes the MCP server for communication with Alertmanager. The class should include methods to start the server, handle incoming alerts, and manage alert states (e.g., firing, resolved).

3. **Alert Handling**: Implement functionality within 'AlertWatcher' to process incoming alerts from Alertmanager. Each alert should be parsed to extract critical information such as the alert name, severity level, and associated labels. Store these details in a structured format for easy access and manipulation.

4. **Notification System**: Integrate a notification system into 'AlertWatcher' that sends out alerts based on predefined rules. For example, send email notifications for critical alerts or SMS notifications for severe alerts. Use libraries like 'smtplib' for emails and 'twilio' for SMS services.

5. **User Interface**: Develop a simple web interface using Flask or Django that allows users to view current alerts, their status, and historical data. The UI should also provide options to configure alert rules and notification preferences.

6. **Testing and Documentation**: Write unit tests for your application to ensure all components work correctly. Additionally, create comprehensive documentation detailing how to install, configure, and use 'AlertWatcher'. Include examples and best practices for integrating it with existing systems.

The 'alertmanager-mcp-server' package plays a crucial role in facilitating communication between your application and Alertmanager. It acts as a middleware that listens for alerts from Alertmanager and forwards them to your application for further processing. By leveraging this package, you can focus on building robust alert handling and notification logic without worrying about the intricacies of Alertmanager's API.

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