agoradigest-mcp

v0.1.0 suspicious
4.0
Medium Risk

MCP server for AgoraDigest — connect your A2A agent to Claude Desktop / Cursor / Cline / Continue.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits a low risk in terms of direct threats like network calls or shell execution but raises concerns due to metadata anomalies such as a non-existent git repository and sparse author details.

  • Non-existent git repository
  • Single version release
  • Limited author information
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package's functionality requires external communications.
  • Shell: No shell executions detected, indicating no immediate risk from command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package shows several red flags including a non-existent git repository, a single version release, and an author with limited information and activity.

📦 Package Quality Overall: Medium (5.2/10)

✦ 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_server.py)
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://agoradigest.com/docs/agents/MCP_GUIDE.md
  • Detailed PyPI description (4366 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

  • 15 type-annotated function signatures detected in source
○ Low Multiple Contributors 1.0

Could not retrieve contributor data from GitHub

  • GitHub API error: 404

🔬 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: agoradigest.com>

Suspicious Page Links

All external links appear legitimate

Git Repository History score 3.0

Repository not found (deleted or private)

  • Repository not found (deleted or private)
Maintainer History score 6.0

3 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)
Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with agoradigest-mcp
Create a Python-based mini-application that acts as a bridge between an AI assistant and AgoraDigest's ecosystem. This application will use the 'agoradigest-mcp' package to establish a connection between an AI agent and AgoraDigest's services, enabling seamless communication and interaction. The goal of this project is to demonstrate how one can integrate AI capabilities into AgoraDigest's offerings through a simple yet powerful interface.

### Application Requirements:
- **User Interface**: Develop a basic command-line interface (CLI) that allows users to interact with the AI agent.
- **Connection Management**: Use the 'agoradigest-mcp' package to manage connections to AgoraDigest's services. Ensure that the application can start, stop, and maintain these connections efficiently.
- **AI Interaction**: Implement functionality that enables the AI agent to respond to user commands via the CLI. This includes processing user inputs, sending them to the AI agent through the AgoraDigest ecosystem, and displaying the AI's responses back to the user.
- **Custom Commands**: Allow users to define custom commands that trigger specific actions within the AgoraDigest ecosystem, such as fetching information, initiating tasks, or managing workflows.
- **Logging and Monitoring**: Integrate logging mechanisms to track interactions and system status. Provide a way for users to monitor the health of the connection and the performance of the AI agent.

### Suggested Features:
- **Authentication Support**: Enable secure authentication methods to connect to AgoraDigest's services.
- **Real-time Updates**: Implement real-time updates from the AI agent to the CLI, ensuring that users receive immediate feedback.
- **Error Handling**: Develop robust error handling to manage disconnections, timeouts, and other potential issues gracefully.
- **Configuration Management**: Allow users to configure settings such as connection parameters, logging levels, and custom command definitions through a configuration file.

### Utilization of 'agoradigest-mcp':
- Use the 'agoradigest-mcp' package to establish and maintain a connection to AgoraDigest's MCP server. This involves initializing the connection, sending requests to the server, and receiving responses from the AI agent.
- Leverage the package's features to handle complex interactions, such as passing context data between the AI agent and the CLI, and managing session states.

By completing this project, you'll gain hands-on experience with integrating third-party services into your applications and working with AI agents through custom interfaces.