Activate Agentic AI

MarkLogic MCP Server

Allow AI agents to answer questions on your trusted data in natural language. You can connect AI assistants like GitHub Copilot, AWS Quick and Claude with MarkLogic Server so they can securely discover, retrieve and reason over enterprise knowledge while preserving MarkLogic's security, provenance and semantic context.

Scale AI Efficiently

Precision-Variable Vector Compression

Scale AI workloads more efficiently by defining the right balance of retrieval accuracy and infrastructure cost. You can now control vector precision at the schema level in a declarative way to reduce storage and index overhead for vector and hybrid searches.

Index Scope Control

Maximize storage efficiency by indexing only the content that delivers search value. You can now exclude parts of documents or entire documents from the universal index to scale search and AI applications more cost effectively.

Parameterized CTS Query Support in Optic API

Build complex hybrid queries with more flexible, reusable query logic in Optic API. Parameterized CTS queries extend Optic parameter binding to lexical and structured query components, making hybrid search pipelines easier to develop and more efficient to run.

Inline Virtual Views

Create relational views on the fly—now without the administrative overhead. You can now generate temporary Virtual Views directly in your Optic API queries without waiting for database configuration changes.

Enjoy Better Cloud Elasticity and Cost Efficiency

AWS Graviton Support

Reduce infrastructure costs for you MarkLogic AWS Cloud workloads without sacrificing reliability. Running MarkLogic Server on AWS Graviton gives you better price-performance for multimodel data workloads, while maintaining on-par performance with existing x86 deployments.

Support for Dynamic Hosts Now in AWS CloudFormation Template and Kubernetes Operator

Declaratively add clusters to handle peak query workloads through the MarkLogic Kubernetes Operator and AWS CloudFormation Template. Scale clusters up and down to handle changing workloads while optimizing resource utilization.

Storage Expansion and Rolling Upgrades via Kubernetes Operator

Increase operational capacity whenever you need to with less manual effort and upgrade your MarkLogic Server with zero downtime. The MarkLogic Kubernetes Operator now supports increasing storage capacity for MarkLogic clusters by updating the cluster configuration, while rolling upgrades allow you to move to supported MarkLogic releases without disrupting production environments.

Strengthen Your Security Posture

Strengthen your security posture with seamless authentication across all MarkLogic administrator tools, Open SSL 3.5 support and enhanced product security.

Enable secure single sign-on (SSO) across MarkLogic administration tools using OAuth 2.0 and OpenID Connect. Administrators can now seamlessly authenticate with existing enterprise identity providers and authorize access to the app servers. MarkLogic Server 12.1 is available under enterprise and developer licenses as of September 14, 2026. For more information, please see the release notes.