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Assess open-source health, dependency risks, trends, and license differences.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Open Source Intelligence MCP" MCP server from askskill: Run: claude mcp add --transport http 'io-github-foundrynet-oss-intel-mcp' 'https://oss-intel-mcp-production.up.railway.app/mcp'
Analyze the health of this GitHub repository, including activity, maintenance frequency, contributor base, and issue/PR response speed, then judge whether it is suitable for production use: https://github.com/example/repo
A project health assessment, key risk factors, and a recommendation on adoption.
Compare the dependency risk and maintenance status of these npm packages: package-a and package-b. Focus on release recency, maintainer activity, common vulnerabilities, download trends, and replacement suggestions.
A risk comparison of both packages, potential security issues, and safer selection advice.
Compare the main differences among Apache-2.0, MIT, and GPL-3.0 licenses, and list current trending GitHub repositories related to data infrastructure to support my technical research.
An explanation of license differences plus a summary of relevant trending repositories and insights.
Get real-time package health, vulnerabilities, and dependency insights for safer decisions.
Analyze PyPI packages for dependencies, security, licenses, health, and trends.
Monitor multiple GitHub repositories, PRs, issues, deployments, and health in one dashboard.
Get structured, read-only insights into local code repositories and project setup.
Scan dependencies for vulnerabilities and breaking changes with AI-powered impact analysis.
Analyze project architecture and detect similar code patterns for cross-language consistency.