accounting-ai-mcp

v1.0.6 suspicious
4.0
Medium Risk

MCP server for accounting ai. Features generate invoice, categorize expenses, calculate vat. From MEOK AI Labs.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows minimal signs of direct malicious intent but raises concerns due to limited maintainer history and an inactive repository, suggesting potential supply-chain risks.

  • Minimal maintainer history
  • Inactive repository
Per-check LLM notes
  • Network: The network call to localhost suggests internal health checks and is not indicative of malicious activity unless the package's purpose is unknown or contradictory to its name.
  • Shell: No shell execution patterns detected, indicating low risk.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package has minimal maintainer history and an inactive repository, raising concerns about its legitimacy.

🔬 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 accounting-ai-mcp 
Create a mini-application called 'InvoiceGen' that leverages the 'accounting-ai-mcp' package from MEOK AI Labs to streamline accounting tasks. The app should allow users to input basic information about their business transactions, such as vendor details, item descriptions, quantities, prices, and tax rates. It will then use the package's capabilities to automatically generate invoices, categorize expenses, and calculate VAT.

Step 1: Set up the environment
- Install Python and necessary libraries including 'accounting-ai-mcp'.

Step 2: Design the User Interface
- Develop a simple yet user-friendly interface where users can input transaction data.
- Ensure the UI includes fields for vendor name, item description, quantity, unit price, and tax rate.

Step 3: Implement Data Processing
- Use 'accounting-ai-mcp' to process the input data.
- Integrate its functions for generating invoices, categorizing expenses, and calculating VAT.

Step 4: Generate and Display Invoices
- Once processed, display the generated invoice on the UI.
- Include all relevant details such as subtotal, VAT amount, and total.

Suggested Features:
- Save invoices as PDF files for record keeping.
- Allow users to view past invoices and manage them.
- Implement error handling for invalid inputs.
- Add a feature to categorize expenses based on predefined categories like travel, office supplies, etc.

The goal of 'InvoiceGen' is to simplify the invoicing process for small businesses and freelancers, making it faster and more accurate.