AI Analysis
The package appears to be designed for aggregating financial assets from various exchanges and wallets without any evident malicious intent or risky behaviors.
- Low network risk due to expected API interactions
- No shell execution detected
Per-check LLM notes
- Network: Network calls are likely for API interactions given the package's naming and context.
- Shell: No shell execution patterns detected.
Package Quality Overall: Medium (5.8/10)
Test suite present — 7 test file(s) found
Test runner config found: pyproject.toml7 test file(s) detected (e.g. test_cli.py)
Some documentation present
Detailed PyPI description (17484 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
Classifier: Typing :: Typed151 type-annotated function signatures detected in source
Limited contributor diversity
2 unique contributor(s) across 26 commits in cidzhao/asset-mcpTwo distinct contributors found
Heuristic Checks
Found 4 network call pattern(s)
t(self.client) return httpx.AsyncClient(timeout=30, follow_redirects=True) class _NullAsyncContextt(self.client) return httpx.AsyncClient(timeout=20) def _asset_from_quantity( account: Binancet(self.client) return httpx.AsyncClient(timeout=20) class _NullAsyncContext: def __init__(selft(self.client) return httpx.AsyncClient(timeout=20) def _asset_from_indexed_row( account: Onch
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
No author email provided
All external links appear legitimate
Repository cidzhao/asset-mcp appears legitimate
1 maintainer concern(s) found
Author "cidzhao" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a personal finance dashboard using the 'asset-mcp' Python package. This dashboard will aggregate financial assets from multiple accounts into a single, easy-to-use interface. Your task is to develop a web-based application where users can log in, view their aggregated balance across different accounts, and monitor their spending habits over time. The application should have the following features: 1. User Authentication: Implement user registration and login functionality to ensure secure access to personal financial data. 2. Account Aggregation: Use the 'asset-mcp' package to fetch and display the current balances of all linked bank accounts, investment portfolios, and other financial instruments. 3. Transaction History: Show a history of recent transactions for each account, allowing users to track their spending and income. 4. Spending Analysis: Provide an analysis of spending trends over different periods (daily, weekly, monthly), including visualizations like charts and graphs. 5. Alerts and Notifications: Set up alerts for specific financial events, such as low balance warnings or significant withdrawals. 6. Customization Options: Allow users to customize their dashboard layout and color schemes according to their preferences. 7. Security Measures: Ensure all data transmitted between the client and server is encrypted, and sensitive information is handled securely. To utilize the 'asset-mcp' package, you'll need to establish connections to various financial institutions' APIs, which the package will handle for read-only operations. The package simplifies the process of aggregating data from these sources, providing a streamlined way to access and present the information on your dashboard. Your challenge is to design an intuitive and visually appealing interface while ensuring robust security measures are in place.
💬 Discussion Feed
No discussion yet. Be the first to share your thoughts!
Report Abuse / Security Issue