AI Analysis
The package shows a moderate level of network risk due to its ability to make external calls, while other risks such as shell execution, obfuscation, and credential harvesting are minimal. The metadata risk is slightly elevated due to the maintainer's limited package history.
- Moderate network risk due to external calls
- Maintainer has only one package
Per-check LLM notes
- Network: The presence of network calls to an external server with configurable headers and timeout suggests potential for data transmission, which could be benign or malicious depending on the use case.
- Shell: No shell execution patterns were detected, indicating a low risk of direct system command execution.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer has only one package, which may indicate a new or less active account, raising some suspicion but not conclusive evidence of malice.
Package Quality Overall: Medium (5.2/10)
Test suite present — 5 test file(s) found
Test runner config found: pyproject.toml5 test file(s) detected (e.g. test_auth.py)
Some documentation present
Detailed PyPI description (3707 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
43 type-annotated function signatures detected in source
Limited contributor diversity
1 unique contributor(s) across 41 commits in RagavRida/agentsmcpSingle author but highly active (41 commits)
Heuristic Checks
Found 1 network call pattern(s)
_key}" self._client = httpx.AsyncClient( base_url=self.server, headers=headers, timeout=
No obfuscation patterns detected
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
No author email provided
All external links appear legitimate
Repository RagavRida/agentsmcp appears legitimate
1 maintainer concern(s) found
Author "AgentMailbox contributors" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a collaborative note-taking application using Python and the 'agentsmcp' package. This app will allow multiple users to contribute to a shared set of notes, ensuring that every user's edits are synchronized across all connected clients in real-time. Each user will act as an agent with their own mailbox, allowing them to receive updates from other agents about changes made to the notes. ### Features: 1. **User Authentication**: Users must sign up or log in to access the notes. Each user will have a unique identifier (UUID). 2. **Real-Time Collaboration**: When a user makes an edit to a note, the change is immediately reflected on all other users' screens, thanks to the context-sync protocol provided by 'agentsmcp'. 3. **Note Creation and Editing**: Users can create new notes and edit existing ones. The application should support rich text formatting for enhanced readability. 4. **Version Control**: Each change to a note should be tracked, allowing users to revert to previous versions if needed. 5. **Notification System**: Users should receive notifications when another user edits a note they're following. 6. **Search Functionality**: A search bar will allow users to find specific notes or keywords within notes. 7. **Offline Mode**: If a user loses internet connection, the app should cache recent changes locally and sync them once connectivity is restored. ### Utilizing 'agentsmcp': - Use 'agentsmcp' to manage the mailbox system for each user, enabling seamless communication between agents (users). - Implement a mechanism where each user-agent sends updates about changes to notes to other agents via the 'agentsmcp' protocol. - Ensure that the context-sync protocol provided by 'agentsmcp' handles conflicts efficiently, such as when two users try to edit the same part of a note simultaneously. - Design a system where the 'agentsmcp' package facilitates the tracking of note versions, making it easier to implement version control. Your task is to design and develop this application from scratch, including setting up the backend to handle user data and the frontend to interact with users. Focus on making the collaboration feature as smooth and intuitive as possible.