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Securely store and retrieve secrets for AI agents without exposing plaintext.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "hush" MCP server from askskill: Run: claude mcp add --transport http 'com-royashbrook-hush' 'https://royashbrook.com/hush'
Use hush to store OpenAI and database access keys, then let the agent reference them by name during execution so the model never sees the plaintext.
A secure secret-reference setup the agent can use without exposing sensitive values in prompts or logs.
Design an MCP workflow where an email triage agent accesses IMAP, Slack, and an internal webhook, with all credentials managed by hush, and explain key rotation.
A secure automation design covering secret storage, referencing methods, and key rotation guidance.
I am testing an AI agent that calls third-party services. Use hush to manage test tokens and outline ways to prevent credential leaks in debug output.
A test-environment secret management and log-redaction plan that reduces leakage risk.
Securely store and retrieve agent secrets with DID scoping and USDC payments.
Securely injects API credentials for AI agents with policy enforcement and audit logs.
Securely lets AI use real secrets with human approval per release.
Let AI agents safely run SSH commands and inspect remote files.
Create tamper-evident audit trails and observability records for AI agents.
Securely store and manage encrypted credentials for AI agents without hardcoded keys.