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Connect to Elasticsearch via MCP for search, index inspection, and cluster info.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "elastic-mcp" yet — see the docs or source repo.
Use elastic-mcp to search Elasticsearch for logs containing "timeout" in the last 24 hours and summarize the related services by occurrence count.
Returns matching log search results and a summary of affected services with occurrence counts.
Use elastic-mcp to inspect the customer_orders index and describe its main fields and index status.
Returns index inspection details, including basic index information, field structure, or status.
Use elastic-mcp to retrieve current Elasticsearch cluster information and summarize the key status details.
Returns cluster information and a brief overview of the cluster status.
Developers or DevOps engineers can use this MCP tool to search logs or documents in Elasticsearch and quickly find clues during troubleshooting.
When users need to review an index’s status or structure, they can inspect index information to support data analysis or API development.
DevOps teams can retrieve Elasticsearch cluster information to understand basic cluster status for routine checks or initial diagnosis.
It is a Model Context Protocol server for Elasticsearch that provides tools for search, index inspection, and cluster information, with optional write capabilities.
Based on the description, it supports search, index inspection, and cluster information retrieval. It also has optional write tools, but the exact write scope is not specified in the provided information.
The provided information does not include installation steps, runtime requirements, or authentication details. Please check the source repository for specifics.
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