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Connect to Elasticsearch clusters to inspect indices, search data, and fetch mappings.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Elasticsearch MCP Server" yet — see the docs or source repo.
List all indices in the current Elasticsearch cluster and return index names, document counts, and health status.
A list of indices with basic status and size information for each one.
Search the logs-* indices for error-level logs from the past 24 hours, returning timestamp, service name, and error message.
Filtered error log results that help investigate recent system issues.
Retrieve the field mappings for the products index, highlighting field names, types, and whether they support full-text search.
A structured mapping summary to understand index field design and query behavior.
Connect to Elasticsearch for querying, search analysis, and workflow automation.
Interact with Elasticsearch for health checks, index management, CRUD, and search.
Use natural language to search, analyze, and manage Elasticsearch data.
Use Elasticsearch for smarter e-commerce search with planning, expansion, and filtering.
Search, read, manage Confluence docs, and lint them for best practices.
Connect to e-commerce systems to query products, orders, and store data.