arunsiv-weather-mcp-server

v1.0.0 safe
4.0
Medium Risk

MCP server providing weather by zip code

🤖 AI Analysis

Final verdict: SAFE

The package is deemed safe as it does not exhibit signs of malicious activities such as shell execution or credential harvesting. However, metadata concerns slightly elevate the risk score.

  • Low network, shell, obfuscation, and credential risks.
  • Some metadata red flags but no clear malicious intent.
Per-check LLM notes
  • Network: The network calls appear to be legitimate API requests for weather and location data, which align with the package's presumed functionality.
  • Shell: No shell execution patterns detected, indicating no immediate risk from command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package shows some red flags but lacks clear indicators of malicious intent.

📦 Package Quality Overall: Low (2.0/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (1500 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
○ Low Type Annotations 1.0

No type annotations detected

  • No type annotations, py.typed marker, or stub files detected
○ 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 score 3.0

Found 2 network call pattern(s)

  • he zip code geo_res = requests.get(f"https://api.zippopotam.us/us/{zip_code}") if not g
  • n-Meteo weather_res = requests.get( f"https://api.open-meteo.com/v1/forecast?latitu
✓ 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 arunsiv-weather-mcp-server 
Create a fully-functional mini-application called 'WeatherWhiz' that leverages the 'arunsiv-weather-mcp-server' package to provide users with real-time weather information based on their zip code input. This application should be built using Python and should have a user-friendly command-line interface (CLI).

The core functionalities of WeatherWhiz include:
1. User Input: Allow users to enter their zip code through the CLI.
2. Data Retrieval: Utilize the 'arunsiv-weather-mcp-server' package to fetch weather data from the server based on the provided zip code.
3. Display Weather Information: Present the retrieved weather data in a readable format to the user, including temperature, humidity, wind speed, and condition summary.
4. Error Handling: Implement robust error handling to manage cases where the zip code entered does not exist or the server is unavailable.
5. Additional Features:
   - Provide historical weather data for the past week when requested by the user.
   - Offer a forecast for the next 5 days.
   - Save the last 10 search queries and allow users to view them.

To utilize the 'arunsiv-weather-mcp-server' package, you will need to install it via pip and import its relevant modules into your Python script. Ensure that you handle API rate limits and potential server downtime gracefully to maintain a smooth user experience. Your final submission should include all necessary Python files, along with clear instructions on how to run the application and any additional setup steps required.

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