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Connect to Elasticsearch for querying, search analysis, and workflow automation.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-server-elasticsearch" yet — see the docs or source repo.
Connect to Elasticsearch and query the top 20 logs with level=error from the logs-2024 index in the last 24 hours, sorted by timestamp descending, and return the key fields.
A list of matching log records with key fields such as timestamp, level, and message.
In the customer-feedback index, count how many times the keywords "refund", "delay", and "satisfied" appeared in comment text over the last 30 days, and present the result in a table.
A summary table showing the count for each keyword to quickly analyze customer feedback themes.
Check the health status, document count, and storage usage of the main indices in the current Elasticsearch cluster, and flag any abnormal indices.
An overview of index health with abnormal items highlighted for troubleshooting cluster or data issues.
Connect to Elasticsearch clusters to inspect indices, search data, and fetch mappings.
Interact with Elasticsearch for health checks, index management, CRUD, and search.
Use natural language to search, analyze, and manage Elasticsearch data.
Query and retrieve data across GitHub, Neo4j, PostgreSQL, and Milvus.
Use Elasticsearch for smarter e-commerce search with planning, expansion, and filtering.
Search, aggregate, and explore OpenSearch logs and index metadata read-only.