BoostSecurity MCP acts as a safeguard for agentic workflows. It analyzes every package an AI agent introduces, flags unsafe dependencies, and recommends secure, maintained alternatives to keep projects protected. By design, it can block unsafe or malicious packages before they are added, and it verifies that dependencies are actively maintained and supported. When risks are detected, the MCP provides safer alternatives, helping teams reduce package-related risks and strengthen the software supply chain. This server supports a range of ecosystems, including Python (PyPI), Go Modules, npm, Maven, and NuGet, ensuring broad applicability across languages. It ships with a dedicated tool, validate_package, which checks whether a package is safe to use and returns recommended alternatives if unsafe. The server also encourages best practices by delivering clear instructions during connection initialization and enabling users to add agent instructions to always validate packages before usage. Finally, BoostSecurity MCP is designed to work with multiple MCP clients (Cursor, Claude Code, Windsurf, VS Code, etc.), providing flexible integration for secure agentic AI development.