ausecon-mcp-server

v1.7.0 suspicious
5.0
Medium Risk

MCP server for Australian economic data from the ABS, RBA, and APRA.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows moderate risks due to its potential for executing arbitrary commands and making multiple network calls, which could be exploited. However, there are no clear signs of malicious intent.

  • High shell risk due to execution of scripts
  • Multiple network calls potentially for unauthorized external communications
Per-check LLM notes
  • Network: Multiple network calls with specific user agents may indicate legitimate API interactions, but could also signify unauthorized external communications.
  • Shell: Execution of scripts via subprocess.run suggests potential for arbitrary command execution, which is high risk if not properly controlled.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, indicating low risk of secret theft.
  • Metadata: The author has only one package and lacks PyPI classifiers, suggesting low effort or inexperience, but no clear indicators of malicious intent.

📦 Package Quality Overall: Medium (5.8/10)

✦ High Test Suite 9.0

Test suite present — 14 test file(s) found

  • Test runner config found: conftest.py
  • Test runner config found: conftest.py
  • Test runner config found: pyproject.toml
  • 14 test file(s) detected (e.g. test_abs_live.py)
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://auseconmcp.com/
  • Detailed PyPI description (5180 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

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

Limited contributor diversity

  • 2 unique contributor(s) across 100 commits in AnthonyPuggs/ausecon-mcp-server
  • Two distinct contributors found

🔬 Heuristic Checks

⚠ Outbound Network Calls score 7.5

Found 5 network call pattern(s)

  • dict[str, str] = {} with httpx.Client(headers={"User-Agent": "ausecon-apra-governance-audit/1.0"})
  • def main() -> int: with httpx.Client(headers={"User-Agent": "ausecon-mcp-audit/1.0"}) as client:
  • _rba_tables(client) with httpx.Client( headers={"User-Agent": "ausecon-mcp-audit/1.0"}, fo
  • cked_at = _utc_now() with httpx.Client(headers={"User-Agent": "ausecon-apra-seed-refresh/1.0"}) as
  • httpx.AsyncClient: return httpx.AsyncClient(timeout=timeout, headers={"User-Agent": build_user_agent()})
✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 2.0

Found 1 shell execution pattern(s)

  • trics() -> None: result = subprocess.run( [ sys.executable, "scripts/
✓ 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

Repository AnthonyPuggs/ausecon-mcp-server appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author "Anthony P" 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 ausecon-mcp-server 
Create a financial dashboard application using Python that integrates with the 'ausecon-mcp-server' package to provide real-time Australian economic data visualization. This application will serve as a tool for investors and economists to stay informed about key economic indicators such as GDP, inflation rates, employment statistics, and interest rates from reliable sources like the Australian Bureau of Statistics (ABS), Reserve Bank of Australia (RBA), and Australian Prudential Regulation Authority (APRA).

Step-by-Step Guide:
1. Setup your development environment with Python and install the 'ausecon-mcp-server' package.
2. Design a user-friendly interface where users can select specific economic indicators they wish to monitor.
3. Implement a feature that fetches real-time data from the 'ausecon-mcp-server' based on user preferences.
4. Visualize the fetched data using charts and graphs, providing historical trends alongside current values.
5. Include a section for alerts, allowing users to set up notifications for significant changes in selected economic indicators.
6. Ensure the application can handle multiple users simultaneously, each with their own customized dashboard.
7. Add documentation and instructions for easy setup and use.

Suggested Features:
- Interactive charting capabilities for dynamic data visualization.
- User authentication and customization options.
- Integration with other financial APIs for comprehensive analysis.
- Mobile responsiveness for accessibility on different devices.
- Data export functionality for further analysis.

How to Utilize 'ausecon-mcp-server':
- Use the package's API to connect to the server and request specific economic datasets.
- Parse and manipulate the returned data for display in your application.
- Regularly update the data to ensure the information presented is current and relevant.

💬 Discussion Feed

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