Elasticsearch is a distributed, free and open search and analytics engine for all types of data, including textual, numerical, geospatial, structured, and unstructured.
Provides access to Elasticsearch indices, allowing users to list indices, inspect field mappings, and execute search queries using full Query DSL capabilities with automatic highlighting.
Connects Claude and other MCP clients to Elasticsearch data, allowing users to interact with their Elasticsearch indices through natural language conversations.
Last updated
3
1,232
696
Apache 2.0
Why this server?
Provides documentation and code validation for XanoScript, including integration guidance for Elasticsearch search operations.
An MCP server and standalone library that gives AI assistants superpowers for developing on Xano — complete with documentation, code validation, and workflow guides.
Last updated
7
863
9
MIT
Why this server?
Allows querying and managing Elasticsearch indices and data within WhoDB.
WhoDB CLI - a powerful database management tool with interactive TUI, programmatic commands, and MCP server for AI assistants.
Last updated
12
4,929
Apache 2.0
Why this server?
Indexes and searches Apple Health data, providing advanced querying, filtering, and aggregation capabilities for efficient health data analytics and trend analysis.
A Model Context Protocol server that enables seamless interaction between LLM-based agents and Apple Health data, allowing users to query, analyze, and manage health records through natural language commands.
Last updated
2
7
226
MIT
Why this server?
Provides tools for searching documents, managing indices and aliases, and monitoring cluster health and statistics within an Elasticsearch instance.
An MCP server that enables interaction with Elasticsearch and OpenSearch clusters for searching documents and managing indices. It provides tools for cluster health monitoring, index configuration, and general API requests.
Last updated
16
Apache 2.0
Why this server?
Provides comprehensive tools for interacting with Elasticsearch clusters, including full CRUD operations for documents and indices, bulk operations, query-based updates/deletes, cluster health monitoring, and advanced search with DSL queries and highlighting.
Facilitates interaction with Elasticsearch clusters by allowing users to perform index operations, document searches, and cluster management via a Model Context Protocol server and natural language commands.
Last updated
20
297
Apache 2.0
Why this server?
Provides direct Elasticsearch access for log queries, aggregations, and index discovery, with optional Kibana Console proxy fallback.
MCP server for Kibana / Elasticsearch — log search, aggregations, index discovery, and dashboard browsing. Hits Elasticsearch REST API directly for log queries; falls back to Kibana
Console proxy when no direct ES URL is configured. Supports ApiKey auth (best for agents), Basic auth, and anonymous access. All 5 tools are read-only (readOnlyHint: true). Returns
structured JSON (outputSchema).
Last updated
5
MIT
Why this server?
Provides access to query Elasticsearch data through Kibana's API, enabling log searches and data retrieval with support for custom queries, sorting, and filtering.
Enables AI assistants to interact with Kibana dashboards, visualizations, and Elasticsearch data through read-only resources and executable tools for searching logs, exporting dashboards, and querying data.
