🤖 AI Analysis

Final verdict: SUSPICIOUS

The package actionstep-mcp v0.1.0 has moderate risk due to network calls for token authentication and low maintenance effort indicated by sparse metadata.

Moderate network risk due to token authentication calls requiring further investigation.
Low maintenance effort and sparse metadata suggest potential risks.

Per-check LLM notes

Network: The package appears to make network calls for token authentication, which may be legitimate but requires further investigation into the necessity and destination of these calls.
Shell: No shell execution patterns were detected in the provided code snippets.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package shows low maintenance effort with minimal details provided by the author, which could indicate potential risks.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 4.5

Found 3 network call pattern(s)

ep-mcp-setup") resp = requests.post(TOKEN_URL, data={ "client_id": CLIENT_ID,
) self.session = requests.Session() self.session.headers.update({ "Authori
de for tokens...") resp = requests.post(TOKEN_URL, data={ "client_id": client_id, "c

✓ 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 score 2.5

Git history flags: Repository has zero stars and zero forks

Repository has zero stars and zero forks

⚠ 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 actionstep-mcp

Create a legal task management mini-app using the 'actionstep-mcp' package in Python. This app will serve as a bridge between a user and the Actionstep API, allowing users to manage their legal tasks efficiently. Here’s a detailed plan on how to proceed:

1. **Setup**: Begin by installing the 'actionstep-mcp' package. Ensure you have access credentials from Actionstep to authenticate your requests.
2. **Authentication**: Implement a secure authentication mechanism to allow users to log into the app with their Actionstep credentials. Store these credentials securely.
3. **Task Management Interface**: Develop a simple yet effective interface where users can view, create, edit, and delete tasks. Each task should include details like title, description, due date, and status.
4. **Integration with Actionstep API**: Use the 'actionstep-mcp' package to integrate the app with the Actionstep API. This integration should allow real-time synchronization of tasks between the app and Actionstep’s backend.
5. **Notifications**: Implement a notification system that alerts users about upcoming deadlines and completed tasks.
6. **Search Functionality**: Add a search feature that allows users to find specific tasks based on keywords, dates, or other criteria.
7. **Reporting**: Provide users with the ability to generate reports on their task progress, such as completed vs. pending tasks over time.
8. **User Customization**: Allow users to customize their task views and notifications according to their preferences.

The 'actionstep-mcp' package is crucial for this project as it provides comprehensive support for interacting with the Actionstep API, covering all aspects of law firm practice management. It simplifies the process of managing tasks, cases, and more, ensuring that your mini-app is robust and efficient.