# Compatible 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.

[Learn More](https://docs.okareo.com/docs/getting-started/overview)

## 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.

[Learn More](https://docs.okareo.com/docs/getting-started/overview)

## 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.

[Learn More](https://docs.okareo.com/docs/getting-started/overview)

## Enterprise-Grade Governance for AI Context

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

[Learn About Agentics](https://docs.okareo.com/docs/getting-started/overview)

## 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?**