air-mcp-server

v0.1.0 suspicious
4.0
Medium Risk

Model Context Protocol server for the Agent Identity Registry (AIR)

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows low individual risk factors but has a concerning metadata risk due to the unverified maintainer and missing repository. This combination raises suspicion but does not conclusively indicate malicious intent.

  • Low risk in network, shell, obfuscation, and credential aspects.
  • High metadata risk due to unknown maintainer and missing repository.
Per-check LLM notes
  • Network: No network calls detected, which is normal if the package does not require external communications.
  • Shell: No shell execution patterns detected, indicating no immediate signs of executing system commands.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The repository is not found and the maintainer seems new with limited history, raising concerns.

📦 Package Quality Overall: Low (4.4/10)

✦ High Test Suite 9.0

Test suite present — 3 test file(s) found

  • Test runner config found: conftest.py
  • Test runner config found: pyproject.toml
  • 3 test file(s) detected (e.g. conftest.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (2132 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

  • 11 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

No author email provided

✓ 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 4.0

2 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • Author "Agent Identity Registry Foundation" 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 air-mcp-server 
Create a fully functional mini-application that serves as a Model Context Protocol (MCP) server using the 'air-mcp-server' Python package. This application will act as a bridge between various AI models and the Agent Identity Registry (AIR), enabling seamless communication and context management for these models. Your task is to develop a command-line interface (CLI) tool that allows users to register, manage, and interact with different AI models within the AIR ecosystem.

### Core Features:
- **Model Registration:** Users should be able to register new models with the MCP server. Each model should have a unique identifier and metadata such as version, description, and supported operations.
- **Context Management:** Implement functionality to manage contexts for each model. Contexts represent the state of a model during its operation, including input data, intermediate results, and output configurations.
- **Interaction Interface:** Provide a simple CLI where users can query the status of registered models, update their contexts, and retrieve information about ongoing operations.

### Advanced Features (Optional):
- **Web Dashboard Integration:** Extend your application to include a basic web dashboard that visualizes the status of registered models and their contexts.
- **Security Enhancements:** Incorporate basic security measures like user authentication and authorization to control access to the MCP server.
- **Logging and Monitoring:** Integrate logging capabilities to track all interactions with the MCP server, and provide monitoring tools to analyze the performance and usage patterns of the models.

### Utilization of 'air-mcp-server':
- Use the 'air-mcp-server' package to handle the underlying communication protocols and interactions with the AIR registry. Ensure that your application leverages the package's APIs to facilitate registration, context management, and interaction functionalities efficiently.
- Explore the documentation of 'air-mcp-server' to understand its capabilities and limitations, and design your application architecture accordingly.

Your final submission should include a well-documented codebase, clear instructions on setting up and running the application, and a demonstration video showcasing its key features.

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