akshare-stock-mcp

v0.1.0 safe
3.0
Low Risk

MCP Server for akshare stock data - A股股票数据MCP服务

🤖 AI Analysis

Final verdict: SAFE

The package appears to be safe with minimal risks identified. It lacks network calls, shell execution, and obfuscation techniques that could indicate malicious activity.

  • No network calls detected.
  • No shell execution patterns detected.
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires online data access.
  • Shell: No shell execution patterns detected, indicating no immediate risk of command injection or system compromise.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package shows some signs of low effort and potential lack of transparency, but there are no clear indicators 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_server.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (6798 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

  • 50 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 8.0

4 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • 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 akshare-stock-mcp 
Create a real-time stock monitoring application using the Python package 'akshare-stock-mcp'. This application will allow users to track multiple stocks in real-time, receive alerts when specific conditions are met, and visualize stock performance over time. Here’s a detailed plan on how to build it:

1. **Setup Environment**: Ensure you have Python installed along with the necessary packages including 'akshare-stock-mcp'. Use pip to install 'akshare-stock-mcp' if it's not already available.
2. **User Interface**: Design a simple but intuitive UI where users can input stock symbols they want to monitor. Consider using libraries like Tkinter for desktop applications or Streamlit for web-based interfaces.
3. **Real-Time Data Fetching**: Utilize 'akshare-stock-mcp' to fetch real-time stock prices and other relevant data. Integrate this data fetching into your application to update stock information dynamically.
4. **Alert System**: Implement an alert system that triggers notifications (email, SMS, or in-app) based on predefined conditions such as price reaching a certain threshold or significant volume changes.
5. **Data Visualization**: Provide visual representations of stock trends using matplotlib or seaborn for historical data analysis and dynamic graphs for real-time data visualization.
6. **User Management**: Allow users to save their preferences and monitor lists across sessions. Implement basic user management features like login/signup.
7. **Testing and Optimization**: Conduct thorough testing to ensure all functionalities work correctly under various conditions. Optimize the application for performance and reliability.
8. **Deployment**: Prepare the application for deployment either as a desktop app or a web service depending on your chosen platform.

This project aims to leverage 'akshare-stock-mcp' to provide a comprehensive solution for stock enthusiasts looking to stay informed about their investments in real-time.

💬 Discussion Feed

Leave a comment

No discussion yet. Be the first to share your thoughts!