Govern AI agents with the Model Context Protocol

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

How It Works

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
Capabilities

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.

Integration

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" } }
Client surfaces

Governance where your team works

KoraSafe extends beyond the web platform. MCP-powered governance runs inside your IDE, browser, and CI/CD pipeline.

VS Code extension

Real-time diagnostics on file save. The extension acts as an MCP client, connecting your IDE directly to the KoraSafe governance layer for inline compliance checks, quick fixes, and a sidebar compliance score ring.

Chrome extension

Manifest V3 browser extension that intercepts LLM API calls, detects shadow AI usage, and scans chat inputs for PII. Findings feed back to the platform via the Runtime Monitor agent.

GitHub Action

Drop-in CI/CD governance gate. Runs the Code Auditor and Dependency Auditor agents on every pull request, posts findings as PR comments, and creates Check Runs that block merges on critical findings.

JS and Python SDKs

Programmatic access to the full governance API. Submit code for audit, query findings, manage policy packs, and trigger remediation from your own applications and scripts.