🤖 AI Analysis

Final verdict: SAFE

The package shows minimal risk indicators and does not engage in risky behaviors such as network calls or shell executions. The metadata risk is slightly elevated due to the maintainer's account status, but there is insufficient evidence to suggest a supply-chain attack.

Low risk scores across all categories except metadata.
Maintainer's account appears new or inactive, warranting further investigation.

Per-check LLM notes

Network: No network calls detected, which is normal unless the package requires external services.
Shell: No shell execution patterns detected, indicating no immediate signs of executing system commands.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The maintainer has a new or inactive account with incomplete author information, raising some suspicion but not conclusive evidence of malice.

🔬 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

Email domain looks legitimate: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository ahujasid/ableton-mcp appears legitimate

⚠ 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 ableton-mcp

Create a real-time music production assistant application using the Python package 'ableton-mcp' which integrates with Ableton Live via the Model Context Protocol. Your goal is to develop a utility that can automate certain tasks within Ableton Live, enhancing the user's workflow during live performances or studio sessions. Here’s a detailed breakdown of the project requirements and steps:

1. **Project Overview**: Design a tool that listens to MIDI inputs from a controller, analyzes the incoming data, and automates actions such as triggering clips, adjusting mixer levels, or manipulating effects parameters based on predefined rules.

2. **Features**:
- **MIDI Input Handling**: Capture MIDI messages from external controllers.
- **Clip Triggering**: Automatically trigger specific clips when certain MIDI notes are played.
- **Volume Automation**: Adjust volume levels of tracks based on MIDI control change messages.
- **Effect Control**: Manipulate parameters of built-in Ableton effects using MIDI control messages.
- **User Interface**: Develop a simple GUI to allow users to map MIDI controls to different functions.

3. **Implementation Steps**:
- **Setup Environment**: Install Python and necessary libraries including 'ableton-mcp'.
- **Initialize Connection**: Use 'ableton-mcp' to establish a connection with Ableton Live.
- **MIDI Input Setup**: Integrate a library like 'python-rtmidi' to handle MIDI input.
- **Function Mapping**: Create a mapping system where MIDI inputs correspond to specific actions in Ableton Live.
- **Real-Time Processing**: Implement real-time processing logic to react to incoming MIDI data.
- **GUI Development**: Use a library like Tkinter or PyQt to create a user interface for setting up mappings.

4. **Utilizing 'ableton-mcp'**: Leverage 'ableton-mcp' to interact with Ableton Live's internal state and context. This includes sending commands to trigger clips, adjust track properties, and modify effect settings. Ensure that your application can dynamically update its behavior based on the current session state provided by 'ableton-mcp'.

5. **Testing and Deployment**: Test your application thoroughly in different scenarios to ensure reliability and responsiveness. Once satisfied, consider packaging your application for distribution, making it easy for other producers and DJs to install and use.