This Elasticsearch MCP server implementation provides a standardized interface for interacting with Elasticsearch clusters through natural language. Developed to bridge the gap between large language models and Elasticsearch, it offers tools for index operations, document searching, and cluster management. The server leverages Docker for easy deployment of a 3-node Elasticsearch cluster with Kibana, and integrates seamlessly with Claude Desktop via a simple configuration. It's particularly useful for developers and data analysts who want to explore and manipulate Elasticsearch data using conversational AI, enabling natural language queries for complex search operations and cluster insights without requiring in-depth Elasticsearch expertise.
List all indices.
Returns information (mappings, settings, aliases) about one or more indices.
Create a new index.
Delete an index.
Search for documents.
Creates or updates a document in the index.
Get a document by ID.
Delete a document by ID.
Deletes documents matching the provided query.
Returns basic information about the health of the cluster.
Returns high-level overview of cluster statistics.
List all aliases.
Get alias information for a specific index.
Create or update an alias for a specific index.
Delete an alias for a specific index.
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