amcl-server

v1.3.3 suspicious
4.0
Medium Risk

A/MCL — Agent/Multi-Coding-agent Context Layer. MCP server for automatic context persistence across AI coding agents.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package is deemed suspicious due to its moderate network risk and metadata concerns, despite having low risks in shell execution, obfuscation, and credential handling.

  • moderate network risk
  • low repository activity and maintainer history
Per-check LLM notes
  • Network: The package makes network calls to an external server which could indicate data exfiltration or unauthorized communication.
  • Shell: No shell execution patterns were detected, indicating low risk in this area.
  • Obfuscation: The observed pattern appears to be a legitimate method for generating timestamps rather than malicious obfuscation.
  • Credentials: No suspicious patterns indicative of credential harvesting were detected.
  • Metadata: The repository has low activity and the maintainer has limited history, raising some suspicion.

📦 Package Quality Overall: Medium (5.6/10)

✦ High Test Suite 9.0

Test suite present — 1 test file(s) found

  • Test runner config found: pyproject.toml
  • 1 test file(s) detected (e.g. test_amcl.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (6067 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 131 type-annotated function signatures detected in source
◈ Medium Multiple Contributors 5.0

Limited contributor diversity

  • 1 unique contributor(s) across 26 commits in ratnam1510/A-MCL
  • Single author but highly active (26 commits)

🔬 Heuristic Checks

⚠ Outbound Network Calls score 4.5

Found 3 network call pattern(s)

  • oundary={boundary}" req = urllib.request.Request( "https://amcl.jpdz.app/api/upload",
  • ) try: resp = urllib.request.urlopen(req, timeout=30) res_data = json.loads(resp.
  • "application/json" req = urllib.request.Request( "https://amcl.jpdz.app/api/share",
⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • rite file timestamp = __import__("datetime").datetime.now().strftime("%Y-%m-%d") if len(projects
✓ 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: users.noreply.github.com>

✓ 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 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 amcl-server 
Create a mini-application named 'CodeSync' that leverages the 'amcl-server' package to manage and synchronize code contexts between multiple AI coding agents. This application should allow developers to work on code snippets across different coding environments seamlessly, ensuring that all changes and states are persistently stored and synchronized in real-time.

Step 1: Setup the Environment
- Install Python and the necessary libraries including 'amcl-server'.
- Configure the 'amcl-server' to start a MCP server for context persistence.

Step 2: Design the User Interface
- Develop a simple yet effective user interface where users can input their code snippets.
- Implement functionality to connect to the 'amcl-server' and authenticate users.

Step 3: Implement Code Synchronization
- Utilize 'amcl-server' to store and retrieve code contexts from the server.
- Ensure that any changes made to the code snippet in one environment are reflected in others in real-time.

Step 4: Add Advanced Features
- Implement version control to track changes over time.
- Allow users to switch between different versions of their code.
- Integrate notifications to alert users about updates from other environments.

How 'amcl-server' is Used:
- 'amcl-server' acts as the central hub for storing and managing code contexts. It ensures that all data related to code snippets is automatically persisted and accessible across different coding agents.
- When a user makes changes to their code, these changes are saved to the 'amcl-server', which then pushes the updated context to all connected agents, maintaining consistency across all environments.

💬 Discussion Feed

Leave a comment

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