MarkLogic FAQs

Question 1

What is MarkLogic MCP and what does it do?

Accepted Answer

MarkLogic MCP (Model Context Protocol) is a server that enables AI agents to natively interrogate, query, and manage MarkLogic databases. It leverages MarkLogic's built-in capabilities like full-text search, Optic queries, and SPARQL for seamless AI interaction.

Question 2

How does MarkLogic MCP help AI agents interact with MarkLogic?

Accepted Answer

It provides 49 specialized tools across 11 domains (e.g., admin, search, Optic, SPARQL) and 13 prompts for tasks like query planning, code generation, and import design. This allows AI agents to efficiently use MarkLogic's native features without needing to understand complex APIs.

Question 3

What platforms and agents does MarkLogic MCP support?

Accepted Answer

It supports local AI agents via stdio transport (e.g., Claude Desktop) and remote agents or BI tools like AWS QuickSight via HTTP+SSE transport. This offers flexible integration options for various AI environments and analytics platforms.

Question 4

What MarkLogic capabilities can AI agents access through this tool?

Accepted Answer

AI agents can utilize MarkLogic's full-text search, Optic row queries, SPARQL for semantic data, Flux for bulk import/export, TDE schema management, and vector search. The tool also includes advisory functions for optimal tool selection.

Question 5

Is MarkLogic MCP secure for database operations?

Accepted Answer

Yes, security is a priority. MarkLogic MCP operates in read-only mode by default, preventing accidental data modifications. Write operations and server-side evaluation are explicitly gated and require configurable access, enhancing data integrity.

MarkLogic

MarkLogic

Key Features

Use Cases

Key Features

Use Cases