Elasticsearch is a distributed, free and open search and analytics engine for all types of data, including textual, numerical, geospatial, structured, and unstructured.
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
5
443
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
4,909
Apache 2.0
Why this server?
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
1,050
677
Apache 2.0
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.
Last updated
7
6
2
MIT
Why this server?
Connects to Elasticsearch clusters allowing interaction with indices through natural language, including listing indices, retrieving mappings, performing searches, managing index templates, bulk operations, reindexing data, and monitoring cluster health.
Connects agents to Elasticsearch data using the Model Context Protocol, allowing natural language interaction with Elasticsearch indices through MCP Clients like Claude Desktop and Cursor.
Last updated
11
80
21
MIT
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
7
217
MIT
Why this server?
Uses Elasticsearch as the backend for the knowledge graph, providing distributed, scalable storage for entities and relations with advanced search capabilities
Provides a scalable knowledge graph implementation for Model Context Protocol using Elasticsearch, enabling AI models to store and query information with advanced search capabilities, memory-like behavior, and multi-zone architecture.
Last updated
20
38
19
MIT
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?
Connects to the NixOS Elasticsearch API to query package information and system options with field-specific search boosts, multiple channel support, and error handling.
MCP-NixOS is a Model Context Protocol server that provides real-time, accurate information about NixOS packages, options, Home Manager, and nix-darwin configurations, preventing AI assistants from hallucinating about NixOS resources and enabling them to deliver factual system configuration guidance.
