Credential vault for LLM agents that stores credentials encrypted and exposes MCP tools for authenticated HTTP requests, web scraping, and credential management, preventing AI assistants from seeing secrets.
An encrypted credential vault for MCP clients that stores and uses sensitive material without exposing values to the model, enabling secure command execution, HTTP requests, and template rendering.
The secret vault coding agents use - store, rotate, and share credentials via CLI or MCP. Claim tokens let one agent hand a secret to another, one-time and scoped, even across tenants; every access is AES-256-GCM encrypted and audit-logged.
Enables teams to securely store and retrieve credentials, view decrypted secrets or live OAuth tokens, and connect to third-party MCP servers through a unified MCP endpoint.
Agent Vault is a local credential vault for AI agents. It enables agents to use secrets by name without ever seeing their values, with host allowlists, output scrubbing, and audit logging.