Server OS runs on your own machine — the client starts it, so there is no endpoint to ping. Last commit 27 Aug 2026.
Fail-closed agentic OS MCP: agents as processes with cost, governance, observability, skills.
We read the source, 12 h ago · rules 3dff92dd89df
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
result = eval(code, allowed_globals, {}) # noqa: S307
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
AI governance MCP server for policy enforcement, cost control, and observability.
Safe scheduled AI agents with governance gates. Verified, receipted, fail-closed.
Agentic SDLC governance and security controls for AI coding agents working with GitHub.
Local recursive self-improvement OS MCP with fail-closed governance and gated mutation tools.
MCP compliance proxy between agent and tools: deterministic governance, fail-closed, audit trail.
Agent tracing, cost tracking, anomaly detection for LLM agents
Universal governance layer for AI agents. MCP-native, fail-closed, audit proofs and rollback.
Discover and rank Stellar 8004 agents with a read-only MCP server and fail-closed contract probes.
Answers built from our own checks of this server.