Opensearch FAQs

Question 1

What is Opensearch MCP Server?

Accepted Answer

Opensearch MCP Server enables natural language search and data analysis within OpenSearch by integrating LangChain agents. It acts as a bridge between OpenSearch and LangChain, allowing users to query and manage their data using natural language.

Question 2

What are the key features of Opensearch MCP Server?

Accepted Answer

Key features include natural language search using GPT models, index management, real-time conversion of natural language to OpenSearch queries, and easy installation/execution through Docker.

Question 3

What are the prerequisites for using Opensearch MCP Server?

Accepted Answer

The prerequisites are Docker and Docker Compose, Python 3.10+ (for running the agent), and an OpenAI API key (for GPT model usage).

Question 4

How do I install and run Opensearch MCP Server?

Accepted Answer

You can install and run Opensearch MCP Server using Docker Compose. Clone the repository, navigate to the directory, and run `docker-compose up -d`. You also need to set up the Python agent environment and configure the OpenAI API key.

Question 5

What tools are available within Opensearch MCP Server?

Accepted Answer

The server provides tools like ListIndexTool (retrieves all indices), IndexMappingTool (gets mapping information), and SearchIndexTool (executes complex search queries).

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