$ loading_
Get real-time package health, vulnerabilities, and dependency insights for safer decisions.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-package-health" yet — see the docs or source repo.
Analyze the dependency health of this Python project: requests, fastapi, and pandas. Provide a health score, known vulnerabilities, maintenance activity, and highlight any high-risk packages.
A summary of health and vulnerabilities for each dependency, with prioritized risks to address.
Generate a dependency graph for the package django-rest-framework. Show direct and transitive dependencies, and identify which ones have security alerts.
A clear dependency hierarchy with nodes marked where security issues exist.
I am comparing flask and fastapi for a new project. Use package health, vulnerability history, and dependency complexity to recommend which is safer and easier to maintain.
A side-by-side risk comparison with key metrics and recommendations for technology selection.
Analyze PyPI packages for dependencies, security, licenses, health, and trends.
Assess open-source health, dependency risks, trends, and license differences.
Search npm packages, audit dependencies, and compare package details and size.
Access live NPM package data for version checks and dependency risk reviews.
Verify package safety for AI coding agents and detect supply-chain risks.
Analyze AI security, scan vulnerabilities, and monitor code leaks efficiently.