azure-finops-mcp

v0.1.1 safe
3.0
Low Risk

MCP server exposing Azure FinOps capabilities to LLM clients.

🤖 AI Analysis

Final verdict: SAFE

The package has low risk indicators with no network calls, shell executions, or credential harvesting attempts detected. The only notable issue is low maintenance and poor metadata quality, which does not suggest malicious activity.

  • Low network and shell risk
  • No evidence of obfuscation or credential harvesting
  • Poor metadata quality and low maintenance
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external API interactions.
  • Shell: No shell execution patterns detected, indicating no direct system command execution from the package.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package shows signs of low maintenance and poor metadata quality, but there's no clear indication of malicious intent.

📦 Package Quality Overall: Low (3.8/10)

◈ Medium Test Suite 6.0

Partial test coverage signals detected

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

Some documentation present

  • Detailed PyPI description (11557 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

  • 26 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

All external links appear legitimate

✓ 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 azure-finops-mcp 
Your task is to develop a financial operations dashboard using the 'azure-finops-mcp' Python package. This dashboard will provide insights into cost management and optimization for Azure resources. The application should be designed to interact with the MCP server exposed by 'azure-finops-mcp', fetching real-time financial data and operational metrics from Azure services. Here’s a detailed breakdown of what your application should achieve:

1. **Setup and Configuration**: Start by installing the 'azure-finops-mcp' package and setting up authentication credentials for accessing Azure services. Ensure your application securely stores these credentials.
2. **Data Fetching**: Use the package to fetch financial data including monthly spend, projected costs, and budget alerts from Azure. Implement error handling to manage potential issues during data retrieval.
3. **Dashboard Interface**: Develop a simple but effective user interface where users can view their Azure spending trends over time, compare actual vs. projected costs, and receive notifications about upcoming budget overruns.
4. **Cost Optimization Suggestions**: Based on the fetched data, your application should provide recommendations for cost savings. For example, it could suggest scaling down unused resources, archiving old data, or leveraging reserved instances.
5. **Custom Reports**: Allow users to generate custom reports based on specific criteria such as cost centers, subscriptions, or resource groups. These reports should be downloadable in CSV format.
6. **Real-Time Notifications**: Integrate real-time notification systems (e.g., email or SMS) that alert users when they are approaching their budget limits or when there are significant changes in spending patterns.
7. **User Authentication**: Implement basic user authentication to ensure only authorized personnel can access sensitive financial information.
8. **Documentation and Deployment**: Provide comprehensive documentation detailing how to install, configure, and use the application. Also, outline steps for deploying the application in a cloud environment like Azure itself.

The 'azure-finops-mcp' package is crucial for interfacing with Azure’s financial operations APIs, providing you with structured access to the financial and operational data necessary for building this dashboard. Your goal is to create a tool that not only visualizes financial data but also empowers users to make informed decisions about their Azure resource usage.

💬 Discussion Feed

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