Módulo 3
Universal MCP Gateway
La pasarela definitiva para que Agentes IA interactúen con el Control Plane de AgentShield de forma segura, auditada y con validación Pydantic de tipo estricto.
Hardenized Architecture
A diferencia de MCPs genéricos, AgentShield utiliza Pydantic Models para cada entrada, logs de auditoría inmutables y un sistema de Dry Run mandatorio para acciones financieras.
100% Endpoint Toolset
classify_risk_analysis(prompt, context)EU AI Act classification with LLM-generated legal rationale.provision_ai_role(description)AI Role Architect: Natural language to JSON security policy.get_roi_metrics(tenant_id)Financial Command Center: Time saved vs real AI expenditure.get_department_chat_history(dept_id)Privacy Silos: Retrieve history with zero cross-dept leakage.neutralize_pii_trace(trace_id)Right to be Forgotten: Force-scrub PII from forensic audit logs.invite_tenant_member(email, role)Administrative Governance: Automated member onboarding.
@mcp.tool()
async def provision_ai_role(input_data: RoleProvisionInput):
"""AI-Gen: Configures complex policies from natural language"""
return await role_architect.auto_configure_role(
input_data.tenant_id, input_data.description
)
@mcp.tool()
async def get_roi_metrics(input_data: TenantBase):
"""Calculates savings using MultimodalEstimator EMA logic"""
return await analytics.calculate_savings(input_data.tenant_id)
python
Resources
schema://db/forensics
compliance://gdpr-rtf
Prompts
"Onboard Department"
"Security Breach Protocol"
Administrative Background Machinery
trust_healer.py Fairness Engine
billing_worker.pyFinancial Recovery
sync_prices.pyPrice Oracle