USE CASE

Okareo + MCP:
Operationalizing the Model Context Protocol for Reliable, Observable, and Enterprise-Ready AI Agents

Your agents can’t be trusted unless you understand what they know. Okareo brings MCP to life — governing every piece of context, surfacing behavioral insights, and helping you scale LLM agents safely and confidently.

Compatible Infrastructure

Compatible Infrastructure

Compatible Infrastructure

MCP Compatible Context Infrastructure

MCP Compatible Context Infrastructure

Okareo structures and tracks all context passed to your agents, making every memory, retrieval, and tool input attributable, governed, and inspectable. Know exactly what your model saw and why it acted that way.

Agents

Agents

Agents

Traceable Agent Behavior

Okareo links model behavior back to specific context objects, enriched with metadata like provenance, sensitivity, and usage rights. Perfect for debugging, compliance, and trust-building.

Compatible Infrastructure

Compatible Infrastructure

Compatible Infrastructure

Composable and Auditable AI Pipelines

Composable and Auditable AI Pipelines

Build modular, flexible agents that you can monitor, test, and verify at every step. Swap tools, retrievers, or memory modules without losing observability or governance.

Governance

Governance

Governance

Enterprise-Grade Governance for AI Context

Autonomous agents that hold conversations and call services require unique approaches to development and evaluation.

FAQs

What is MCP?

How does Okareo relate to MCP?

What benefits does Okareo offer?

Why is context governance important for AI agents?

How does Okareo ensure traceability of agent behavior?

Can Okareo integrate with existing AI pipelines?

How does Okareo handle sensitive information?

What is the open standard?

Who can benefit from using Okareo and MCP?

FAQs

What is MCP?

How does Okareo relate to MCP?

What benefits does Okareo offer?

Why is context governance important for AI agents?

How does Okareo ensure traceability of agent behavior?

Can Okareo integrate with existing AI pipelines?

How does Okareo handle sensitive information?

What is the open standard?

Who can benefit from using Okareo and MCP?

FAQs

What is MCP?

How does Okareo relate to MCP?

What benefits does Okareo offer?

Why is context governance important for AI agents?

How does Okareo ensure traceability of agent behavior?

Can Okareo integrate with existing AI pipelines?

How does Okareo handle sensitive information?

What is the open standard?

Who can benefit from using Okareo and MCP?