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Interact with Elasticsearch for health checks, index management, CRUD, and search.
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.
Connect to the Elasticsearch cluster, check its current health, and summarize the status, node count, shard allocation, and any risks in English.
A cluster health summary with key risks and items that need attention.
Create an index named orders_2025 with fields for order number, user ID, amount, and order time, then show the suggested mapping and creation result.
The index creation request, recommended field mappings, and the execution result.
Search the support_tickets index for high-priority tickets related to login failures in the last 30 days, return the latest 10 results, and summarize common issues.
A list of matched documents, an explanation of the query conditions, and a brief summary of common issues.
Connect to Elasticsearch clusters to inspect indices, search data, and fetch mappings.
Connect to Elasticsearch for querying, search analysis, and workflow automation.
Use natural language to search, analyze, and manage Elasticsearch data.
Use Elasticsearch for smarter e-commerce search with planning, expansion, and filtering.
Interact with MongoDB using natural language for schema, CRUD, aggregation, and indexes.
Manage Kubernetes clusters, resources, backups, and diagnostics using natural language.