Envibe is an open-source Model Context Protocol (MCP) server that provides granular, per-variable access control for environment variables (.env files) in AI coding workflows. Designed for developers and teams using AI coding assistants (Claude Code, Copilot, Cursor, etc.), Envibe ensures sensitive secrets like API keys and passwords are protected from AI agents, with configurable access levels ranging from full access to complete hiding. It features encrypted, deduplicated backups, integration guidance for popular LLM tools, and helpful CLI tools for managing environment variables securely and efficiently.
Visit Envibe's official website for product details and getting started.
Comprehensive guides and API references for setting up and using Envibe.
Changelog and updates for the latest versions of Envibe.
Explore various use cases and examples of implementing Envibe in AI coding workflows.