KoraSafe

Govern AI Agents with theModel context protocol

Enable any AI agent to query compliance status, check regulations, and report governance events programmatically -- all through the open MCP standard.

From agent request to governance response

KoraSafe exposes a standards-compliant MCP server that any AI agent can connect to for real-time governance intelligence.

AI AGENT Your LLM, copilot, or autonomous agent MCP MCP PROTOCOL JSON-RPC transport, tool discovery, auth KORASAFE GOVERNANCE LAYER Regulatory KB, policy engine, audit log COMPLIANT response

What Agents can do via MCP

KoraSafe's MCP server exposes governance tools that any standards-compliant agent can invoke programmatically.

Query regulatory Knowledge Base

Agents can search and retrieve relevant regulations, standards, and compliance requirements from KoraSafe's curated regulatory knowledge base. Supports semantic queries across EU AI Act, NIST AI RMF, ISO/IEC standards, and sector-specific frameworks.

Check compliance status

Real-time compliance verification for any registered AI system. Agents can check whether a model, workflow, or deployment meets active policy requirements before proceeding with an action -- enabling governance-aware decision-making at runtime.

Report governance events

Agents can report violations, flag anomalies, submit assessment results, and log governance-relevant events directly into KoraSafe's immutable audit trail. Every event is timestamped, attributed, and tied to the originating agent and organization.

Agent discovery and interoperability

KoraSafe publishes a standardized agent card that describes its governance capabilities, supported tools, and authentication requirements. Any MCP-compatible agent can discover and connect automatically -- no custom integration needed.

Simple, standards-based integration

Connect any MCP-compatible agent to KoraSafe's governance layer with a single tool call. Here's what a typical exchange looks like.

MCP Request / Response
// Agent requests a compliance check via MCP { "method": "tools/call", "params": { "name": "check_compliance", "arguments": { "system_id": "ai-credit-scoring-v2", "framework": "eu-ai-act", "context": "pre-deployment" } } } // KoraSafe governance response { "result": { "status": "compliant", "risk_level": "high", "framework": "EU AI Act - Article 6(2)", "requirements_met": true, "obligations": [ "Conformity assessment completed", "Risk management system documented", "Human oversight measures in place" ], "audit_ref": "ks-audit-9f3a7b2e" } }

Ready to give your AI agents governance intelligence?

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