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Use natural language to search, analyze, and manage Elasticsearch data.
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.
Search Elasticsearch for error logs with status=500 in the last 24 hours, group them by service name, and list the top 10 services by error count.
Returns aggregated error log statistics and a list of the most error-prone services.
Analyze user behavior data in Elasticsearch for the last 7 days, calculate daily active users, identify peak access hours, and summarize key trends.
Outputs key metric summaries, time-based trend analysis, and brief conclusions.
Inspect all order-related indices in the Elasticsearch cluster for health status, shard distribution, and recent anomalies, then provide optimization suggestions.
Returns index health results, explains potential issues, and provides actionable optimization recommendations.
Interact with Elasticsearch for health checks, index management, CRUD, and search.
Use Elasticsearch for smarter e-commerce search with planning, expansion, and filtering.
Connect to Elasticsearch for querying, search analysis, and workflow automation.
Connect to Elasticsearch clusters to inspect indices, search data, and fetch mappings.
Search, aggregate, and explore OpenSearch logs and index metadata read-only.
Search, query, and manage Azure AI Search indexes and documents.