apcore-mcp

v0.15.0 suspicious
4.0
Medium Risk

Automatic MCP Server & OpenAI Tools Bridge for apcore

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has low risks in terms of network calls, shell execution, and obfuscation. However, the presence of suspicious non-HTTPS links and the author's potentially new or inactive account raise concerns about its legitimacy.

  • Suspicious non-HTTPS links
  • Author with potentially new or inactive account
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 risk of command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: Suspicious non-HTTPS links and an author with a potentially new or inactive account suggest some level of concern, but insufficient evidence for high risk.

📦 Package Quality Overall: Medium (5.6/10)

✦ High Test Suite 9.0

Test suite present — 23 test file(s) found

  • Test runner config found: conftest.py
  • Test runner config found: pyproject.toml
  • 23 test file(s) detected (e.g. conftest.py)
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://github.com/aiperceivable/apcore-mcp-python#readme
  • Detailed PyPI description (23158 chars)
○ Low Contributing Guide 2.0

No contributing guide or governance files found

  • No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
◈ Medium Type Annotations 5.0

Partial type annotation coverage

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

Limited contributor diversity

  • 1 unique contributor(s) across 100 commits in aiperceivable/apcore-mcp-python
  • Single author but highly active (100 commits)

🔬 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: aiperceivable.com>

⚠ Suspicious Page Links score 6.0

Found 3 suspicious link(s) on the package page

  • Non-HTTPS external link: http://127.0.0.1:8000/explorer/
  • Non-HTTPS external link: http://your-host:9000/mcp`.
  • Non-HTTPS external link: http://127.0.0.1:8000/metrics
✓ Git Repository History

Repository aiperceivable/apcore-mcp-python 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 apcore-mcp 
Your task is to develop a fully-functional mini-application named 'MCPBridge' using the Python package 'apcore-mcp'. This application will serve as a bridge between an MCP (Multiplayer Control Panel) server and various OpenAI tools, enabling users to interact with their MCP server more efficiently and creatively. Here's a detailed guide on how to proceed:

1. **Project Setup**: Begin by setting up your Python environment and installing the 'apcore-mcp' package. Ensure you have the necessary dependencies installed.

2. **Core Functionality**: Develop the core functionality of the app which includes connecting to an MCP server, fetching data from the server, and sending commands back to it. Use 'apcore-mcp' to handle these interactions seamlessly.

3. **Integration with OpenAI Tools**: Integrate OpenAI tools such as GPT-3 for generating responses based on server data or DALL-E for generating images based on textual descriptions provided by the user. For example, if a user asks for a visual representation of player activity on the server, the app should generate an image depicting this.

4. **User Interface**: Design a simple yet effective user interface where users can input commands or queries related to their MCP server. This could be a command-line interface (CLI) or a web-based UI depending on your preference.

5. **Features**:
   - **Real-time Data Fetching**: Display real-time data about the MCP server including player counts, active games, etc.
   - **Command Execution**: Allow users to execute custom commands on the MCP server through the app.
   - **AI-Generated Responses**: Use OpenAI's capabilities to provide insightful, AI-generated responses to user queries about the server status.
   - **Data Visualization**: Implement basic data visualization tools to graphically represent server statistics.

6. **Testing and Deployment**: Thoroughly test the application under various conditions to ensure reliability and efficiency. Once satisfied, deploy the application either as a standalone executable or a web service accessible via a URL.

Remember to document your code well and provide clear instructions on how to set up and use the 'MCPBridge' application. Your goal is to create a tool that not only showcases the power of 'apcore-mcp' but also adds significant value to MCP server administrators and enthusiasts.

💬 Discussion Feed

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