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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.
Check package versions and assess package quality across multiple language ecosystems.
Inspect npm and PyPI packages for health, vulnerabilities, dependencies, and downloads.
Check live package health and risk scores while you code.
Search npm packages, audit dependencies, and compare package details and size.
Score trust and safety before installing MCP servers, AI skills, or npm packages.