ai-prishtina-whatsapp-mcp

v0.1.3 safe
1.0
Low Risk

Professional WhatsApp Business API library with AI provider integration and MCP support

🤖 AI Analysis

Final verdict: SAFE

Based on the provided analysis notes, there is no evidence of obfuscation or credential harvesting, which significantly reduces the risk of malicious intent.

  • No obfuscation patterns detected
  • No credential harvesting patterns detected
Per-check LLM notes
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.

📦 Package Quality Overall: Medium (5.6/10)

✦ High Test Suite 9.0

Test suite present — 11 test file(s) found

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

Some documentation present

  • Documentation URL: "Documentation" -> https://github.com/albanmaxhuni/ai-prishtina-whatsapp-mcp-se
  • Detailed PyPI description (13248 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 7.0

Partial type annotation coverage

  • Classifier: Typing :: Typed
  • 273 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Could not retrieve contributor data from GitHub

  • GitHub API error: 404

🔬 Heuristic Checks

⚠ Outbound Network Calls score 7.5

Found 5 network call pattern(s)

  • : self._session = aiohttp.ClientSession( timeout=aiohttp.ClientTimeout(total=self.ti
  • n.""" self._session = aiohttp.ClientSession( headers={ "x-api-key": self.api
  • n.""" self._session = aiohttp.ClientSession( headers={"api-key": self.api_key},
  • n.""" self._session = aiohttp.ClientSession( timeout=aiohttp.ClientTimeout(total=self.timeou
  • n.""" self._session = aiohttp.ClientSession( headers={"Authorization": f"Bearer {self.api_ke
✓ 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: albanmaxhuni.com>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 3.0

Repository not found (deleted or private)

  • Repository not found (deleted or private)
⚠ 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 ai-prishtina-whatsapp-mcp 
Create a fully-functional mini-app named 'ChatBotPro' using the Python package 'ai-prishtina-whatsapp-mcp'. This app will serve as a professional chatbot solution integrated with the WhatsApp Business API, designed to automate customer service interactions. Here are the steps and features you need to implement:

1. **Setup and Configuration**: Begin by setting up your development environment with Python and installing the 'ai-prishtina-whatsapp-mcp' package. Configure the app to connect with your WhatsApp Business API account by providing the necessary credentials.

2. **User Interaction**: Design the app to handle user messages effectively. Implement a feature where the chatbot can understand and respond to common customer inquiries, such as product information, order status, and general FAQs.

3. **AI Integration**: Utilize the AI capabilities provided by the 'ai-prishtina-whatsapp-mcp' package to enhance the chatbot's responses. Enable the bot to provide personalized recommendations based on previous interactions or user data.

4. **Multi-Channel Processing (MCP)**: Integrate MCP support to allow the chatbot to manage messages from multiple channels seamlessly. This includes handling simultaneous conversations from different users and ensuring no message is missed or delayed.

5. **Analytics and Reporting**: Incorporate analytics tools within the app to track the performance of the chatbot. Provide reports on key metrics such as response times, customer satisfaction levels, and engagement rates.

6. **Customization Options**: Allow businesses to customize their chatbot's personality and response styles according to their brand guidelines. Offer templates and customization options for greetings, thank-you messages, and other standard replies.

7. **Security and Compliance**: Ensure the app complies with privacy regulations and security standards. Implement measures to protect user data and ensure secure communication through the WhatsApp Business API.

8. **Testing and Deployment**: Thoroughly test the app to identify and fix any bugs or issues before deployment. Once tested, deploy the app to a production environment where it can be used by real customers.

By following these steps and implementing these features, 'ChatBotPro' will become a robust and versatile tool for businesses looking to improve their customer service through automated WhatsApp interactions.