$ loading_
Securely write secrets to .env without exposing values to the agent.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.irrenwill/secret-safe-env" MCP server from askskill: Run: claude mcp add 'io-github-irrenwill-secret-safe-env' -- npx -y secret-safe-env
Please write OPENAI_API_KEY into the current project's .env using secure masked input, and do not display the actual value in chat.
The tool opens a masked input dialog, securely writes the secret to .env, and reports only success.
Update DB_PASSWORD in .env to a new value using a secure input dialog, without letting the agent see the password.
The database password is updated securely, the sensitive value is never echoed, and the result is summarized.
Please write STRIPE_SECRET_KEY, JWT_SECRET, and REDIS_PASSWORD into .env one by one; use masked input for each and never output plaintext values.
Multiple secret environment variables are written securely one by one, with a final status that contains no plaintext secrets.
Securely inject secrets into agent commands without exposing them to models.
Securely store and manage encrypted credentials for AI agents without hardcoded keys.
Securely lets AI use real secrets with human approval per release.
Scan code and text for leaked secrets and exposed API credentials.
Securely store and retrieve local secrets for AI workflows without sending them to LLM APIs.
Securely store, retrieve, share secrets, and inject environment variables for AI agents.