axio-tools-mcp

v0.9.7 safe
3.0
Low Risk

MCP tools loader for Axio

🤖 AI Analysis

Final verdict: SAFE

The package appears safe with minimal risks identified. The primary concerns lie in the low maintainer engagement and poor metadata quality, which slightly elevate the metadata risk.

  • Low network, shell, obfuscation, and credential risks.
  • Metadata risk due to low maintainer engagement and poor metadata quality.
Per-check LLM notes
  • Network: The use of httpx.AsyncClient suggests legitimate network requests, possibly for API interactions or data retrieval.
  • Shell: No shell execution patterns detected.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious activity related to code obfuscation.
  • Credentials: No credential harvesting patterns detected, suggesting no immediate risk of secret or credential theft.
  • Metadata: The package shows signs of low maintainer engagement and poor metadata quality, but there are no clear indicators of malicious intent.

📦 Package Quality Overall: Medium (6.2/10)

✦ High Test Suite 9.0

Test suite present — 7 test file(s) found

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

Some documentation present

  • Documentation URL: "Documentation" -> https://docs.axio-agent.com
  • Detailed PyPI description (4986 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

  • 49 type-annotated function signatures detected in source
✦ High Multiple Contributors 8.0

Active multi-contributor project

  • 3 unique contributor(s) across 100 commits in mosquito/axio-agent
  • Small but multi-author team (3–4 contributors)

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • ne: http_client = httpx.AsyncClient( headers=self._config.headers or None,
✓ 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

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository mosquito/axio-agent appears legitimate

⚠ Maintainer History score 6.0

3 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" appears to have only 1 package on PyPI (new or inactive account)
  • Package has no PyPI classifiers (low effort / metadata quality)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with axio-tools-mcp 
Develop a Python-based mini-application named 'AxioMCPManager' that leverages the 'axio-tools-mcp' package to manage and interact with MCP (Management Control Protocol) services provided by Axio. This application will serve as a command-line interface (CLI) tool for users to easily load, configure, and monitor MCP tools. The goal is to create a user-friendly and efficient way to manage Axio's MCP services without needing direct access to complex APIs or configurations.

#### Features:
1. **Tool Loader**: Automatically load MCP tools using 'axio-tools-mcp'. Users should be able to specify which tools they want to load via command-line arguments.
2. **Configuration Manager**: Allow users to set up configurations for the loaded tools through a simple CLI interface. These configurations could include settings like API endpoints, authentication tokens, etc.
3. **Status Monitor**: Provide real-time status updates for each loaded tool. Users should be able to see if their tools are running successfully or if there are any issues.
4. **Error Handling**: Implement robust error handling to ensure that any issues encountered during tool loading or configuration are clearly communicated to the user.
5. **Help Documentation**: Include a help menu that provides instructions on how to use each feature of the application.

#### Steps to Develop the Application:
1. **Setup Environment**: Begin by setting up your development environment. Ensure you have Python installed along with 'axio-tools-mcp'.
2. **Design the CLI Interface**: Design a user-friendly CLI interface where users can input commands to load tools, configure settings, and check statuses.
3. **Implement Tool Loading**: Use 'axio-tools-mcp' to implement the functionality for loading MCP tools. This involves understanding the package's API and how to call its methods from within your application.
4. **Add Configuration Management**: Develop a module within your application that allows users to set up configurations for the loaded tools. This should include options for setting API keys, specifying endpoints, etc.
5. **Integrate Status Monitoring**: Incorporate real-time monitoring of the loaded tools. Display the status of each tool in the CLI output.
6. **Enhance with Error Handling**: Add comprehensive error handling to manage exceptions and provide meaningful feedback to the user.
7. **Create Help Documentation**: Finally, create a help menu that explains how to use each feature of the application effectively.
8. **Testing**: Test the application thoroughly to ensure all features work as expected.
9. **Deployment**: Prepare the application for deployment. Consider packaging it as a standalone executable or as a package that can be installed via pip.

This project not only showcases your ability to work with third-party Python packages but also demonstrates your proficiency in developing command-line applications and managing configurations.

💬 Discussion Feed

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