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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.
Connect AI to a knowledge base for semantic retrieval and compliant content management.
Connect AI apps to a shared knowledge graph for consistent retrieval and reasoning.
Validate AI outputs against contracts and auto-repair noncompliant results.
Production-ready MCP server for query normalization, retrieval, and RAG prompt building.
Retrieve and verify audit regulations, clauses, and audit item references.