Elasticsearch
CreatedMCP-Mirror
Enables interaction with Elasticsearch clusters, allowing for searching documents, analyzing indices, and managing the cluster via a set of tools.
About
This tool implements a Model Context Protocol (MCP) server, facilitating interaction with Elasticsearch clusters. It provides a suite of functionalities to search documents using Elasticsearch Query DSL, analyze indices by retrieving mappings and settings, and manage the cluster by checking its health and gathering statistics. The server is designed to be integrated with tools like Claude Desktop, enabling natural language interaction with Elasticsearch data.
Key Features
- Retrieve mapping configurations for specific indices
- List indices in an Elasticsearch cluster
- Search documents using Elasticsearch Query DSL
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- Get cluster health status and statistics
- Get settings configurations for specific indices
Use Cases
- Integrating Elasticsearch functionality into Claude Desktop
- Enabling natural language queries to Elasticsearch
- Managing and monitoring Elasticsearch clusters