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Analyze PyPI packages for dependencies, security, licenses, health, and trends.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcpypi" yet — see the docs or source repo.
Analyze the PyPI package requests for dependencies, security risks, license information, and overall health score, and tell me whether it is suitable for production use.
Returns the package dependency graph, potential vulnerabilities, license compliance status, health score, and a production-use recommendation.
Compare fastapi and flask in dependency complexity, security status, maintenance activity, and trend performance, then provide a recommendation.
Provides a side-by-side comparison of key metrics, a summary of strengths and risks, and recommended use cases.
Check whether my project dependencies have license conflicts or high-risk licenses, and list the packages that need further review.
Returns a license risk list, conflict explanations, and the priority dependencies that require manual review.
Get real-time package health, vulnerabilities, and dependency insights for safer decisions.
Statically analyze Python code structure and dependencies without running the code.
Search npm packages, audit dependencies, and compare package details and size.
Inspect npm packages, run security audits, and analyze dependencies and risks.
Assess open-source health, dependency risks, trends, and license differences.
Discover and install suitable MCP servers across multiple registries.