Enzai MCP server
Connects to your AI.
Any MCP-compatible agent gets the same governed connection, right where your teams already work.
Some of our integrations
Workflow tools
Jira, ServiceNow
Model providers
Anthropic, OpenAI
Agent tools
Copilot Studio, Claude Enterprise
Development environments
Azure AI Foundry, Amazon Bedrock, Databricks

Glossary

Interoperability

Interoperability

Interoperability

The ability of diverse AI systems and components to exchange, understand, and use information seamlessly, often via open standards or APIs.

The ability of diverse AI systems and components to exchange, understand, and use information seamlessly, often via open standards or APIs.

Updated

Critical in complex ecosystems where models, data services, and workflows span multiple platforms. Governance promotes use of open standards (ONNX for model exchange, REST/GraphQL for APIs), well-defined data schemas, and semantic ontologies. It also enforces versioning policies and backward compatibility to prevent integration failures as components evolve.

Example

A healthcare consortium ensures interoperability by requiring all partners to export predictive-model artifacts in ONNX format and to use FHIR standards for patient data exchange. This lets hospitals plug each other’s AI modules into their systems with minimal custom integration work.

Govern the AI you actually use.

Govern the AI you actually use.

Govern the AI you actually use.

Start with what’s in use.

Start with what’s in use.

Start with what’s in use.

Book a demo and we’ll show you how Enzai finds the AI in use, gives each system an owner and keeps the record.

Book a demo and we’ll show you how Enzai finds the AI in use, gives each system an owner and keeps the record.