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Govern AI agents with constitutional reasoning, evidence checks, judgment, and controlled execution.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "arifOS MCP Server" yet — see the docs or source repo.
Use the arifOS MCP Server to start a new session for a coding agent. Establish the governance context, applicable constitutional floors, and hard constraints, then provide a checklist of rules that must be verified before any task execution.
An initialized governance session, a summary of constraints, and a pre-execution verification checklist.
Ask the arifOS MCP Server to review an action an AI agent is about to execute: fetch relevant evidence, assess the reasoning process, identify any violations of hard laws or constitutional floors, and conclude whether to allow, deny, or escalate the action.
A summary of evidence, a compliance assessment, risk notes, and a final execution decision.
Design a governance plan for a multi-step AI automation workflow using the arifOS MCP Server, covering session initialization, step-level reasoning audits, evidence retrieval, exception escalation, and final execution control, and specify which MCP tools are used at each step.
A governance workflow plan with tool mapping that can be directly used for controlled agent orchestration.
Govern and audit AI agents with safety checks, reasoning, and session controls.
Govern agent decisions with auditable evidence, confidence calibration, and policy-based handoffs.
Enforce policy checks on AI tool calls without exposing system credentials.
Build auditable, governed MCP AI workflows with a constitutional kernel.
Securely equips AI agents with executable tools for commands, search, and file operations.
Connect AI to a knowledge base for semantic retrieval and compliant content management.