What is an MCP Server?

An MCP (Model Context Protocol) server acts as a bridge, allowing AI models to access and interact with external data sources, like Elasticsearch or OpenSearch, enabling them to make better decisions.

What is Elasticsearch/OpenSearch MCP Server?

An Elasticsearch/OpenSearch MCP Server is an implementation of the Model Context Protocol specifically designed for interacting with Elasticsearch and OpenSearch clusters.

What are the benefits of using the Elasticsearch/OpenSearch MCP Server?

It allows AI models to easily search, analyze, and manage data within Elasticsearch/OpenSearch, leading to more informed and efficient AI applications.

What operations can I perform with this server?

You can perform index operations (list, get, create, delete), document operations (search, index, get, delete), cluster operations (get health, get stats), and alias operations (list, get, put, delete).

How do I install the Elasticsearch/OpenSearch MCP Server?

You can install it using Smithery, uvx, or uv. Detailed instructions are provided in the documentation.

What is UBOS?

UBOS is a full-stack AI Agent Development Platform focused on bringing AI Agent to every business department. It helps orchestrate AI Agents, connect them with enterprise data, build custom AI Agents, and create Multi-Agent Systems.

How does the Elasticsearch/OpenSearch MCP Server relate to UBOS?

It’s an asset available on the UBOS Asset Marketplace, providing a tool to connect AI Agents developed on the UBOS platform with Elasticsearch and OpenSearch clusters.

What are some use cases for the Elasticsearch/OpenSearch MCP Server?

Enhanced customer support, real-time threat detection, personalized recommendations, content discovery, and log analysis.

What Elasticsearch username and password should I use?

The default Elasticsearch username is elastic and password is test123.

What OpenSearch username and password should I use?

The default OpenSearch username is admin and password is admin.