The Integration Fabric for Agentic AI
Give your LLMs and AI agents secure, real-time access to enterprise tools. Built on Model Context Protocol. Governed by design.
Need traditional API integration? See API & Data Fabric →
Agent Fabric
MCP Servers for Agentic AI
MCP-Native. Governed Actions. Built for Claude, LangChain, CrewAI, and beyond.
The Problem with AI + Enterprise Tools Today
Hallucinations
LLMs make up tool responses without real data, leading to incorrect or dangerous actions.
No Governance
Uncontrolled actions across critical systems with no audit trail or approval workflow.
Schema Chaos
Every tool has different APIs, formats, and error handling. Agents get confused.
Security Gaps
No RBAC, no tenant isolation, no boundaries. AI agents with too much access.
Agent Fabric Solves This
Real Data
MCP servers give agents verified, real-time context from actual tools.
Governed Actions
Every action is scoped, audited, and can require approval.
Normalized Schemas
One interface for all tools in a category. Agents understand immediately.
Enterprise Security
RBAC, tenant isolation, full observability built in.
What is MCP?
Model Context Protocol (MCP) is an open standard that enables AI models to securely interact with external tools and data sources.
How MCP Works with Unizo
Your AI Agent
Claude, GPT, LangChain
Unizo MCP Servers
Protocol + Governance
Enterprise Tools
150+ integrations
Standardized Protocol
One way to access all tools
Bi-directional
Read data AND take actions
Context Management
Built-in session handling
Any MCP Client
Works with all compatible clients
Governed Actions: Let AI Act. Safely.
AI agents need to DO things, not just answer questions. But uncontrolled actions across enterprise tools are dangerous. Unizo Governed Actions provide the guardrails.
Scoped Permissions
Define exactly what each agent can and cannot do
Audit Trails
Every action logged with full context and attribution
Approval Workflows
Require human approval for sensitive actions
Rate Limits
Prevent runaway agents from overwhelming systems
Example Governed Actions
Disable User
Okta, Azure AD
Isolate Endpoint
CrowdStrike, SentinelOne
Create Ticket
Jira, ServiceNow
Merge PR
GitHub, GitLab
Send Alert
Slack, Teams
AI-Ready Data Models
Category-level normalization means AI agents understand data immediately. No schema mapping. No guessing.
Every tool has different field names for the same concepts:
// CrowdStrike calls it "detection"
{
"severity": "Critical",
"device_id": "abc123",
"created_timestamp": "2024-01-15T..."
}
// SentinelOne calls it "threat"
{
"threatInfo": {
"severity": "HIGH",
"agentId": "xyz789"
}
}
// Defender calls it "incident"
{
"severity": "High",
"machineId": "def456"
}LLMs must learn 3 different schemas. Confusion, errors, and hallucinations follow.
One unified Semantic Security Model for all EDR tools:
// CrowdStrike "detection"
// = SentinelOne "threat"
// = Defender "incident"
// → Normalized: Alert
{
"alert": {
"id": "unizo-alert-001",
"severity": "critical",
"asset": {
"id": "asset-123",
"hostname": "workstation-1"
},
"user": {
"id": "user-456",
"email": "[email protected]"
},
"timestamp": "2024-01-15T10:30:00Z",
"source": "crowdstrike"
}
}One schema. Works for CrowdStrike, SentinelOne, Defender, and more. AI understands instantly.
Works With Your AI Stack
Native support for the most popular AI platforms and frameworks
Anthropic SDK
Python
Pydantic AI
Type-safe AI
OpenAI Agents
SDK
LangChain
Framework
LangGraph
Workflows
CrewAI
Multi-agent
Cursor
AI IDE
...and more
Any MCP-compatible client
What Can You Build?
Security Copilots
Natural language investigation across your security stack. "Show me all critical alerts from the last hour and the affected users."
SOC Automation
Autonomous triage and response. Agents investigate alerts, enrich with context, and take contained actions.
Compliance Automation
AI-powered evidence collection and control monitoring. Continuously verify compliance across your stack.
DevSecOps Agents
Automated vulnerability triage and remediation. Agents correlate findings with code and create fix PRs.
Security Built for AI Workloads
AI agents with enterprise controls. No compromises.
Tenant Isolation
Complete data and action isolation between tenants
Scoped Access
Fine-grained permissions for each agent and action
Immutable Audit Logs
Every query and action logged with tamper-evident records
RBAC
Role-based access control for teams and agents
Rate Limiting
Prevent runaway agents from overwhelming tools
Zero Data Retention
Customer data is never stored — ephemeral, in-memory processing only
Why Agent Fabric?
How Unizo compares to other approaches
| Capability | Unizo Agent Fabric | Direct API Integration | Generic MCP |
|---|---|---|---|
| Normalized Schemas | ✓ | ✗ | ✗ |
| Governed Actions | ✓ | ✗ | Partial |
| 150++ Integrations | ✓ | Build each | Varies |
| Audit Trails | ✓ | Build each | Varies |
| Enterprise Security | ✓ | Build each | Varies |
Security and Compliance
SOC 2 Type II certified with AES-256 encryption and immutable audit logging
Start Building AI Agents Today
Get MCP servers running in minutes. No credit card required.
Or contact us directly: [email protected]