Remote execution layer for agentic systems exposing 64 production tools via MCP for file, network, system, text, git, crypto, and monitoring operations.
Secure local development platform that exposes controlled developer capabilities (FS, Git, search, command execution) to AI assistants via MCP with deny-by-default security and audit logging.
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.
Advanced shell command execution for AI agents — a Model Context Protocol (MCP) server with security policy engine, process lifecycle management, bounded output capture, POSIX signals, and token-efficient responses.
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Creative Commons Attribution Non Commercial 4.0 International