Query Elasticsearch indices using query DSL with enabled highlights. Connect and interact with Elasticsearch data via the Elasticsearch MCP Server for precise search results.
Apache 2.0
429,754 tools. Updated 2026-08-10 01:24
"Elasticsearch" matching MCP tools:
- Retrieve and display all available Elasticsearch indices to manage and interact with data stored in Elasticsearch through the MCP server.Apache 2.0
- Retrieve field mappings for a specified Elasticsearch index to understand its structure and data organization within the Elasticsearch MCP Server.Apache 2.0
- Terminate the connection to an Elasticsearch cluster and return the operation status.Apache 2.0
- Retrieve the health status of an Elasticsearch cluster. Optionally include index-level details to identify specific issues.MIT
- Retrieve field mappings for an Elasticsearch index to understand data structure and types.Apache 2.0
Matching MCP Servers
- AlicenseAqualityDmaintenanceEnables AI assistants to search, analyze, and interact with Elasticsearch through natural language.18Apache 2.0
- Alicense-qualityCmaintenanceEnables secure and efficient interaction with Elasticsearch clusters through the Model Context Protocol, providing tools for data management, search, and export.3771MIT
- Remove a specific Elasticsearch index by specifying its name, ensuring streamlined data management and storage optimization.MIT
- Retrieve Elasticsearch index aliases with optional name filtering, enabling precise alias management and querying. Integrates with the octodet-elasticsearch-mcp server for streamlined operations.MIT
- Search and filter health records stored in Elasticsearch by type, source, date range, or value. Retrieve structured data for analysis, monitoring, or display using flexible query parameters.MIT
- Retrieve a summary of Apple Health data from Elasticsearch, including total record count, type breakdown, and optional date range aggregation for analysis.MIT
- Analyze health record statistics by type from Apple Health data stored in Elasticsearch. Retrieve total record count, value summaries, and source breakdowns to assess distribution, trends, and data quality for specific health metrics.MIT
- Search pages in your GROWI wiki using Elasticsearch queries. Specify path, limit, and offset to refine results.MIT
- Discover available Elasticsearch indices along with health, status, document count, and storage size. Use this to find index names before searching or aggregating logs.MIT
- Discover available fields and their data types in Elasticsearch indices to correctly construct queries. Filter results by field name or type to find specific fields for exact matches or full-text search operations.MIT
- Search Elasticsearch logs with Query String Syntax, returning the top matching entries including their _source fields. Filter by time range and sort by order.MIT
- Retrieve a list of indices in an Elasticsearch cluster, showing health, status, doc count, and size. Filter by pattern and include hidden indices.Apache 2.0
- Search the NIAID Data Ecosystem for datasets, clinical studies, and publications. Use Elasticsearch queries to find, filter, and aggregate biomedical research resources.MIT
- Run ES|QL queries on Elasticsearch to filter, aggregate, and sort data. Returns results with column metadata and row objects.ISC
- Monitor database connectivity by viewing live state, read-only mode, last error, and next retry time for each configured database.MIT
- Add documents to Elasticsearch with duplicate detection and automatic ID generation to organize knowledge base content.MIT