Elasticsearch is a distributed, free and open search and analytics engine for all types of data, including textual, numerical, geospatial, structured, and unstructured.
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.
Why this server?
Provides product specification search capabilities through Elasticsearch indexes, allowing for detailed product comparisons based on technical specifications
Why this server?
Enables interaction with Elasticsearch 7.x instances, supporting basic operations like ping and info, as well as complete search functionality including aggregation queries, highlighting, sorting, and other advanced search features.
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.
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.
Why this server?
Provides Elasticsearch interaction allowing users to search documents, analyze indices, and manage clusters through natural language queries
Why this server?
Provides integration with ElasticSearch, enabling AI agents to query and search through data via automatically generated APIs.
Why this server?
Uses Elasticsearch as the backend for the knowledge graph, providing distributed, scalable storage for entities and relations with advanced search capabilities
Why this server?
Planned for Q4 2025 to provide search-optimized AI interactions with Elasticsearch, enabling context-aware queries and operations.
Why this server?
Provides search capabilities for court decisions using Elasticsearch query syntax, allowing for complex queries against the entscheidsuche.ch legal database
Why this server?
Retrieves security alerts from Elasticsearch indices containing Wazuh data, transforming them into standardized MCP messages.
Why this server?
Enables vector search capabilities for AI queries, allowing efficient similarity searches and semantic retrieval of data stored in Elasticsearch indices.
Why this server?
The MCP server provides semantic search functionality through Elasticsearch, enabling users to search through Search Labs blog posts that have been indexed using Elastic Open Crawler.
Why this server?
Enables management of Elasticsearch clusters, allowing for creating indices, indexing documents, listing available indices, and executing search queries using Elasticsearch query DSL.