An MCP server that provides ephemeral credentials and persistent MCP connections for AI coding agents, enabling secure access to services like GitHub and AWS without exposing secrets to the agent.
MCP server enabling AI agents to use secrets (API keys, tokens) via encrypted vault, executing HTTP/shell/SSH actions server-side while never exposing secret values to the AI.
MCP server that lets AI agents call APIs without ever seeing the credentials, using a local encrypted vault and per-secret allowlist policies for HTTP requests and subprocess environment variables.
Secrets management MCP server that injects credentials into API requests for AI agents, enforcing policies and logging all activity without exposing raw keys.
MCP server for end-to-end encrypted secret storage and retrieval, enabling LLM agents to fetch secrets by name via one-time URLs while keeping plaintext out of model context and logs.
A local-first MCP server that lets AI agents use gated APIs without holding keys, enforcing declarative policies, injecting secrets server-side, and auditing access without content.
