akima-sc-doc-mcp

v1.0.4 suspicious
5.0
Medium Risk

Servidor MCP para actualizar diccionarios canónicos desde Excel, validar Swagger/OpenAPI, exportar reportes de validación a Excel y crear páginas de documentación de APIs en Confluence

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits a high level of obfuscation, raising concerns about its true intentions. While there is no clear evidence of malicious activity, the obfuscation technique could be hiding harmful behavior.

  • High obfuscation risk
  • Potential for hidden malicious behavior
Per-check LLM notes
  • Network: Network calls appear to be related to API interactions which could be legitimate if the package is designed for interacting with a service or API.
  • Shell: No shell execution patterns were detected.
  • Obfuscation: The use of base64 and gzip for decompression suggests an attempt to obscure the code's functionality, which could be malicious.
  • Credentials: No direct evidence of credential harvesting is present, but caution is advised as obfuscation may hide such activities.

📦 Package Quality Overall: Low (3.2/10)

○ Low Test Suite 1.0

No test suite detected

  • No test files or test-runner configuration detected
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (1201 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

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

Unable to verify contributor count: no GitHub repository found

  • No GitHub repository linked — contributor count unavailable

🔬 Heuristic Checks

⚠ Outbound Network Calls score 4.5

Found 3 network call pattern(s)

  • d response = requests.post(url, json=body, auth=self._get_auth(), headers=self._get_hea
  • v2/spaces" response = requests.get(url, params={"keys": space_key}, auth=self._get_auth(), head
  • id}/label" response = requests.post(url, json=[{"name": label}], auth=self._get_auth(), headers=
⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • embebida.""" compressed = base64.b64decode(CONFLUENCE_TEMPLATE_B64) return gzip.decompress(compress
✓ 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

No GitHub repository linked

  • No GitHub repository link found
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • Author "Equipo Servicios Compartidos" 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 akima-sc-doc-mcp 
Develop a comprehensive API documentation and validation tool using the 'akima-sc-doc-mcp' Python package. This tool will streamline the process of managing API documentation, ensuring it is up-to-date and compliant with industry standards. The application will consist of several key functionalities:

1. **Dictionary Management**: Users will be able to upload Excel files containing API details. These files will then be processed to update canonical dictionaries stored within the application.
2. **Swagger/OpenAPI Validation**: Implement a feature that validates API specifications against Swagger/OpenAPI standards. Any discrepancies or errors found during the validation process should be highlighted and logged for review.
3. **Validation Report Generation**: Upon completion of the validation process, generate comprehensive reports summarizing the findings. These reports should be exported as Excel files for easy review and distribution among stakeholders.
4. **Confluence Documentation Creation**: Automatically create pages within a Confluence space dedicated to documenting APIs. These pages should include all necessary details such as endpoints, methods, parameters, and descriptions extracted from the validated specifications.

To achieve these objectives, you'll need to leverage the core capabilities provided by the 'akima-sc-doc-mcp' package. Specifically, utilize its functions for handling Excel data, validating Swagger/OpenAPI definitions, exporting validation results, and generating Confluence pages. Additionally, consider incorporating user-friendly interfaces for uploading files and viewing reports, as well as robust logging mechanisms to track the application's operations.

This project aims to not only showcase the utility of the 'akima-sc-doc-mcp' package but also provide a practical solution for developers and API managers looking to maintain high-quality documentation and adhere to best practices in API design.

💬 Discussion Feed

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