Connects AI agents to OliveTin actions, enabling secure, human-approved execution of parameterized shell commands.
Sponsored
As AI agents gain the ability to interact with shell commands and infrastructure, a critical trust gap emerges due to the lack of approval gates, action discovery, and audit trails. Olivetin provides a robust solution by serving as a hardened Model Context Protocol (MCP) server that exposes pre-defined OliveTin actions as discoverable tools for AI agents like Claude. It integrates a crucial human-in-the-loop approval process for any potentially destructive operations, transforming OliveTin's safe, parameterized runbooks into an accessible and secure interface for AI-driven automation.
Key Features
01Includes built-in static tools for web search, diagram rendering, and chart generation.
020 GitHub stars
03Human-in-the-loop approval for destructive operations initiated by AI agents.
04Automatic discovery and registration of OliveTin actions as MCP tools.
05Hardened container design with robust security features like non-root user and read-only filesystem.
06Support for multiple authentication modes including reverse-proxy headers, JWT, and HTTP Basic auth.
Use Cases
01Establishing audit trails and approval gates for AI interactions with critical systems.
02Enabling AI agents to safely execute pre-defined infrastructure commands with human oversight.
03Integrating AI-driven automation with existing OliveTin runbooks and IT workflows.
