Elasticsearch

About

Elasticsearch MCP Server bridges the gap between natural language interactions and Elasticsearch data. Utilizing the Model Context Protocol, it allows users to query, manage, and interact with Elasticsearch indices through conversational interfaces like Claude Desktop and Cursor. By analyzing requests and executing Elasticsearch operations, it returns results in a user-friendly format, making data exploration and management more accessible.

Key Features

• Create, update, and delete index templates
• Obtain Elasticsearch cluster health status.
• Perform Elasticsearch searches using the query DSL.
• List Elasticsearch indices using regex.
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• Retrieve field mappings for specified indices.

Use Cases

• Manage Elasticsearch indices, mappings, and templates through a conversational interface.
• Debug and analyze Elasticsearch requests using the MCP Inspector.
• Query Elasticsearch data using natural language in MCP Clients.