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Securely interact with Elasticsearch for search, data management, and exports.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "elasticsearch-mcp" yet — see the docs or source repo.
Connect to the Elasticsearch cluster, search logs with status:error from the last 24 hours, group by service name, and return the top 10 most frequent errors.
Returns matching error logs, service-level aggregations, and a summary of the most frequent errors.
Extract user activity data from a specified index for the last 7 days, keep the fields user_id, event_name, and timestamp, and export it as CSV.
Produces a structured data export ready for reporting or further analysis.
Review the health status, document counts, and storage usage of all business indexes in the cluster, flag abnormal indexes, and suggest actions.
Returns an index health report with abnormal items and operational recommendations.
Connect to Elasticsearch clusters to inspect indices, search data, and fetch mappings.
Use natural language to search, analyze, and manage Elasticsearch data.
Connect to Elasticsearch for querying, search analysis, and workflow automation.
Use Elasticsearch for smarter e-commerce search with planning, expansion, and filtering.
Search, inspect, trace, and read business data assets across internal platforms.
Manage e-commerce products with CRUD, AI descriptions, and MySQL via MCP.