arpeio-mcp

v0.3.1 suspicious
5.0
Medium Risk

Unified MCP server for Arpe.io data tools — FastBCP, FastTransfer, LakeXpress, MigratorXpress

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows signs of potential shell command execution which can be risky if not properly sanitized or controlled. Additionally, the maintainer's inactivity and lack of community engagement increase suspicion.

  • Shell risk due to potential command execution
  • Inactive maintainer and low community engagement
Per-check LLM notes
  • Network: The network call pattern suggests the package may be designed to fetch or update information from external sources, which is common but should be reviewed for legitimacy.
  • Shell: The shell execution patterns indicate potential execution of commands or binaries, which could be used for legitimate purposes but also raises concerns about potential unauthorized actions or vulnerabilities.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The maintainer seems new or inactive, and the repository lacks community engagement.

📦 Package Quality Overall: Medium (5.6/10)

✦ High Test Suite 9.0

Test suite present — 17 test file(s) found

  • 17 test file(s) detected (e.g. test_cache.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (8807 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

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

Limited contributor diversity

  • 1 unique contributor(s) across 37 commits in arpe-io/arpeio-mcp
  • Single author but highly active (37 commits)

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • """ async with httpx.AsyncClient() as client: for product, url, version in source
✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 6.0

Found 3 shell execution pattern(s)

  • try: result = subprocess.run(command, capture_output=True, text=True, timeout=timeout, ch
  • try: result = subprocess.run( [self._binary_path, "--version", "--nobanne
  • result = subprocess.run( [binary_path, "--version",
✓ 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 2.0

1 maintainer concern(s) found

  • Author "Arpe.io" 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 arpeio-mcp 
Your task is to develop a mini-application that serves as a streamlined data management tool using the 'arpeio-mcp' package. This application will leverage the core functionalities of Arpe.io data tools such as FastBCP, FastTransfer, LakeXpress, and MigratorXpress to provide efficient data migration and transfer solutions. Your goal is to create a user-friendly interface where users can easily initiate data transfer tasks between different databases and storage systems.

### Project Scope:
1. **User Interface**: Design a simple web-based UI where users can select source and destination databases, specify transfer types (e.g., Full Load, Incremental), and monitor the progress of their data transfers.
2. **Data Transfer Tasks**: Implement functionalities to initiate data transfers using FastBCP, FastTransfer, LakeXpress, and MigratorXpress. Users should be able to choose which tool to use based on their specific needs.
3. **Task Monitoring**: Provide real-time monitoring capabilities so users can track the status of their data transfer operations. Include details like start time, estimated completion time, current progress percentage, and any error messages if the operation fails.
4. **Security Measures**: Ensure that all sensitive information, such as database credentials, is securely handled. Use environment variables or secure vaults for storing such data.
5. **Documentation**: Write comprehensive documentation detailing how to set up the application, including necessary configurations and dependencies.

### Utilization of 'arpeio-mcp':
- Use 'arpeio-mcp' to manage connections to various databases and storage systems. It provides a unified interface for interacting with different Arpe.io data tools.
- Leverage its FastBCP feature to efficiently bulk copy data between SQL Server instances.
- Use FastTransfer for moving large datasets between cloud storage services.
- Implement LakeXpress for high-speed data loading into data lakes.
- Employ MigratorXpress for seamless database migrations.

### Suggested Features:
- **Batch Processing**: Allow users to schedule multiple data transfer tasks at once.
- **Error Handling**: Implement robust error handling mechanisms to ensure tasks are retried automatically in case of failures.
- **Notification System**: Set up email or SMS notifications for task completion or errors.
- **Custom Scripts**: Enable users to write custom scripts to extend the functionality of data transfers.
- **Logging**: Maintain detailed logs of all activities for auditing purposes.

### Deliverables:
- A fully functional mini-application with a web-based UI.
- Source code with comments explaining key parts of the implementation.
- Comprehensive documentation on setting up and using the application.
- A demo video showcasing the application's features.

💬 Discussion Feed

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