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?
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?
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?
Indexes and searches Apple Health data, providing advanced querying, filtering, and aggregation capabilities for efficient health data analytics and trend analysis.
Why this server?
Provides full-featured search, indexing, and document management with Elasticsearch, including smart search with multi-field queries, document CRUD operations with validation, index administration, and schema validation.
Why this server?
Provides Elasticsearch interaction allowing users to search documents, analyze indices, and manage clusters through natural language queries
Why this server?
Provides product specification search capabilities through Elasticsearch indexes, allowing for detailed product comparisons based on technical specifications
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.
Why this server?
Allows querying and managing Elasticsearch data, providing tools for listing indices, retrieving field mappings, performing searches with query DSL, and viewing shard information.
Why this server?
Provides querying capabilities for Elasticsearch indices and documents through SQL-like interfaces for search and analytics data.
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?
Provides search capabilities for court decisions using Elasticsearch query syntax, allowing for complex queries against the entscheidsuche.ch legal database
Why this server?
Enables querying Elasticsearch data by exposing it as relational SQL tables accessible through the MCP server.
Why this server?
Provides SQL-based access to Elasticsearch indices, enabling natural language querying of search data.
Why this server?
Provides SQL-based access to Elasticsearch index data.
Why this server?
Enables SQL-based querying of Elasticsearch indices, providing access to documents and data stored in Elasticsearch.
Why this server?
Allows SQL-based querying of Elasticsearch indices and documents.
Why this server?
Enables querying Elasticsearch data via SQL interfaces.
Why this server?
Allows querying Elasticsearch data in a read-only capacity.
Why this server?
Listed as a supported data source that can be integrated with the MCP server for data access.
Why this server?
Listed as a supported data source that can be connected to through the CData JDBC driver, enabling data querying capabilities.
Why this server?
Listed as a supported data source that can be accessed through the CData JDBC driver integration.
Why this server?
Listed as a supported data source that can be integrated with the MCP server for querying Elasticsearch data.
Why this server?
Listed as a supported data source that can be integrated with the MCP server for retrieving data.
Why this server?
Enables querying Elasticsearch data through SQL, allowing retrieval of search engine information through natural language questions.
Why this server?
Listed as a supported data source that can be queried through the MCP server.
Why this server?
Listed as a supported data source for integration, enabling access to Elasticsearch search and analytics data through the CData JDBC Driver.
Why this server?
Provides SQL-based access to Elasticsearch search engine data.
Why this server?
Allows SQL-based access to Elasticsearch indices and documents, translating SQL queries to Elasticsearch operations.
Why this server?
Listed as a supported data source for integration, allowing access to Elasticsearch indices and documents.
Why this server?
Provides read-only access to Elasticsearch data by exposing tables as relational SQL models, allowing retrieval of live data through simple MCP queries.
Why this server?
Listed as a supported data source that can be connected to through the CData JDBC driver.
Why this server?
Enables querying Elasticsearch data sources by exposing them as relational SQL models that can be accessed through natural language queries.
Why this server?
Enables SQL-based querying of Elasticsearch search and analytics engine data.
Why this server?
Provides SQL-based querying of Elasticsearch indices and documents.
Why this server?
Provides read-only SQL-based access to Elasticsearch indices, documents, and search capabilities.
Why this server?
Enables SQL-like queries against Elasticsearch indices, transforming document data into relational tables.
Why this server?
Listed as a supported data source for integration through the CData JDBC Driver framework.
Why this server?
Provides read-only access to Elasticsearch data through SQL models, allowing queries of Elasticsearch data through natural language requests.
Why this server?
Planned integration for Elasticsearch search and indexing operations.
Why this server?
Enables querying of Elasticsearch indices and documents through SQL-like operations for search and analytics data retrieval.
Why this server?
Provides read-only access to Elasticsearch indices through SQL queries, enabling retrieval of search and analytics data
Why this server?
Provides read-only access to Elasticsearch search data through SQL queries, enabling retrieval of indexed documents and search analytics
Why this server?
Provides read access to Elasticsearch indices and documents through SQL-like queries, enabling retrieval of search and analytics data.
Why this server?
Enables SQL-based querying of Elasticsearch indices and documents
Why this server?
Enables querying Elasticsearch search engine data and indices through SQL-like operations.
Why this server?
Provides SQL interface to Elasticsearch search and analytics engine, enabling querying of indexed documents and search data
Why this server?
Provides SQL query capabilities for Elasticsearch indices and search data.
Why this server?
Provides querying capabilities for Elasticsearch search and analytics engine data
Why this server?
Enables querying of Elasticsearch indices and documents through SQL interface
Why this server?
Allows SQL-based querying of Elasticsearch indices for search and data retrieval operations
Why this server?
Provides SQL-based querying capabilities for Elasticsearch search and analytics data
Why this server?
Enables querying of Elasticsearch search and analytics data through SQL-like operations
Why this server?
Provides access to Elasticsearch search and analytics data through SQL queries
Why this server?
Enables querying of Elasticsearch search and analytics data through SQL interface
Why this server?
Provides SQL interface to query Elasticsearch search and analytics data
Why this server?
Provides SQL access to Elasticsearch search engine data through CData's JDBC driver
Why this server?
Allows querying of Elasticsearch indices and search data through SQL interface
Why this server?
Enables SQL querying of Elasticsearch search and analytics data, providing access to indices, documents, and search analytics information.
Why this server?
Enables searching and querying of Elasticsearch indices and data through SQL-like operations.
Why this server?
Enables SQL-based querying of Elasticsearch indices and search data through relational interface.
Why this server?
Allows SQL querying of Elasticsearch indices and documents, providing structured access to search and analytics data.
Why this server?
Provides SQL-based querying capabilities for Elasticsearch search and analytics data
Why this server?
Provides SQL access to Elasticsearch search engine data and indices
Why this server?
Allows querying Elasticsearch search engine data through SQL-like interface, enabling retrieval and analysis of indexed data.
Why this server?
Provides tools for querying Elasticsearch search and analytics engine through SQL-like interface for indexed data retrieval
Why this server?
Provides SQL-based access to Elasticsearch indices and search data
Why this server?
Listed as a supported data source in the compatibility table, enabling access to Elasticsearch data.
Why this server?
Listed as a supported data source for integration through the CData JDBC driver.
Why this server?
Allows querying Elasticsearch data through SQL interfaces, making search engine data accessible via natural language.
Why this server?
Provides querying capabilities for Elasticsearch data through SQL models.
Why this server?
Listed as a supported data source for querying Elasticsearch indices and data.
Why this server?
Enables SQL-based querying of Elasticsearch indices and documents.
Why this server?
Provides SQL-based querying of Elasticsearch search and analytics engine.
Why this server?
Listed as a supported data source for integration, allowing access to Elasticsearch data through the MCP server.
Why this server?
Enables SQL-based querying of Elasticsearch indices and documents.
Why this server?
Enables SQL querying of Elasticsearch indices and documents
Why this server?
Enables querying of Elasticsearch indices and documents through relational SQL models.
Why this server?
Allows querying Elasticsearch data through SQL interfaces.
Why this server?
Provides access to Elasticsearch data by exposing it as relational SQL models through the CData JDBC Driver.
Why this server?
Allows querying Elasticsearch data by representing it as relational tables, supporting table discovery, column information retrieval, and SQL query execution.
Why this server?
Listed as a supported data source that can be accessed through the CData JDBC driver, allowing for data retrieval from Elasticsearch search engine.
Why this server?
Listed as a supported data source that can be connected to through the CData JDBC driver.
Why this server?
Allows SQL-based queries against Elasticsearch indices and documents, transforming Elasticsearch data into a relational format.
Why this server?
Provides SQL interface for querying Elasticsearch indices and documents.
Why this server?
Allows retrieval of data from Elasticsearch search and analytics engine through SQL-based tools for listing tables, retrieving column information, and executing SELECT queries.
Why this server?
Enables SQL-based querying of Elasticsearch search and analytics engine data.
Why this server?
Allows retrieval of SAS Data Sets containing Elasticsearch data via SQL queries.
Why this server?
Allows querying Elasticsearch search and analytics engine through SQL-like operations, enabling access to indexed data and search results.
Why this server?
Provides SQL-based access to Elasticsearch indexes and documents through relational models.
Why this server?
Provides SQL-based access to Elasticsearch data, supporting querying of indices and documents.
Why this server?
Enables SQL-based querying of Elasticsearch search and analytics data, providing access to indices and document searches.
Why this server?
Allows SQL-based querying of Elasticsearch indices and search analytics data
Why this server?
Provides tools for querying and retrieving data from Elasticsearch indices.
Why this server?
Enables access to Elasticsearch data through SQL queries.
Why this server?
Allows querying of Elasticsearch search engine data through SQL-like operations for document retrieval and analysis.
Why this server?
Provides SQL-like querying capabilities for Elasticsearch indices, enabling structured access to search and analytics data.
Why this server?
Listed as a supported data source that can be accessed through the MCP server interface, allowing retrieval of Elasticsearch data through SQL queries.
Why this server?
Provides tools for interacting with Elasticsearch data through natural language, including listing indices, getting field mappings, performing searches with query DSL, and retrieving shard information.
Why this server?
Provides SQL querying capabilities for Elasticsearch search and analytics data, allowing access to indices, documents, and search metrics.
Why this server?
Listed as a supported data source that can be accessed through CData JDBC Driver and exposed via the MCP server.
Why this server?
Planned integration for connecting to custom search backends powered by Elasticsearch.
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?
Provides SQL-based access to Elasticsearch search engine data, enabling querying of indices, documents, and search analytics.
Why this server?
Enables SQL-based queries against Elasticsearch indices and documents.
Why this server?
Enables SQL-based querying of Elasticsearch indices and documents.
Why this server?
Listed as a supported data source for integration with the MCP server, allowing access to Elasticsearch data.
Why this server?
Enables querying Elasticsearch indices and documents through SQL-like syntax.
Why this server?
Provides SQL-based access to Elasticsearch indexes and documents, allowing relational queries against search engine data.
Why this server?
Enables access to Elasticsearch data by exposing it as relational SQL models through the CData JDBC driver.
Why this server?
Listed as a supported data source for integration through the CData JDBC Driver
Why this server?
Enables read-only access to Elasticsearch data, allowing SQL-like queries against Elasticsearch indices and documents.
Why this server?
Enables querying Elasticsearch search and analytics engine through SQL-like operations, providing access to indexed data and search metrics.
Why this server?
Provides SQL-based access to Elasticsearch indices for search and analytics data retrieval
Why this server?
Provides tools for interacting with Elasticsearch clusters, including health checks, statistics retrieval, index management, document searching with AI-generated queryDSL, and shard allocation monitoring.
Why this server?
Allows querying Elasticsearch data through natural language rather than complex query syntax.
Why this server?
Planned future support for querying Elasticsearch databases
Why this server?
Planned for Q4 2025 to provide search-optimized AI interactions with Elasticsearch, enabling context-aware queries and operations.
Why this server?
Allows querying of Elasticsearch indexes and documents, providing access to search and analytics data.
Why this server?
Provides read-only access to Elasticsearch indices and documents through SQL queries, enabling retrieval of search and analytics data.
Why this server?
Allows querying and retrieving live data from Elasticsearch through SQL-like interfaces, exposing Elasticsearch data as relational models that can be accessed via natural language queries.
Why this server?
Enables SQL-based querying of Elasticsearch search engine indexes and documents.
Why this server?
Provides SQL-based access to Elasticsearch indexes and documents.
Why this server?
Enables SQL queries against Elasticsearch search engine data and indices for log analysis and search insights
Why this server?
Enables SQL-based querying of Elasticsearch search and analytics data, providing relational access to indexed documents and search results
Why this server?
Allows querying Elasticsearch search and analytics data, providing SQL-like access to indexed documents and search analytics.
Why this server?
Provides SQL-based access to Elasticsearch indices and documents, enabling structured queries against search data.
Why this server?
Provides SQL interface for querying Elasticsearch data.
Why this server?
Included in the list of supported sources for data retrieval through the MCP server.
Why this server?
Allows querying of Elasticsearch data using SQL syntax.
Why this server?
Enables SQL-based queries against Elasticsearch indices and documents.
Why this server?
Enables querying of Elasticsearch data through a relational SQL interface, allowing retrieval of indexed information using natural language questions.
Why this server?
Listed as a supported data source that can be accessed through the MCP server.
Why this server?
Provides integration with ElasticSearch, enabling AI agents to query and search through data via automatically generated APIs.
Why this server?
Retrieves security alerts from Elasticsearch indices containing Wazuh data, transforming them into standardized MCP messages.
Why this server?
Provides document storage and search capabilities for parliamentary data, with automatic embedding for semantic search over Hansard and Parliamentary Questions.
Why this server?
Provides SQL-based access to Elasticsearch indices, documents, and search capabilities.
Why this server?
Provides tools for searching and analyzing logs stored in Elasticsearch clusters, including error pattern analysis, performance issue detection, cluster health monitoring, and index performance optimization through natural language queries.
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?
Supports integration with Elasticsearch clusters, helping monitor Logstash performance feeding into Elasticsearch, identify pipeline bottlenecks that may affect indexing, and optimize configurations for better cluster performance.
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.
Why this server?
Supports log aggregation through ELK stack integration with structured JSON logging for centralized monitoring
Why this server?
Enables querying, managing, and analyzing Elasticsearch data through natural language interactions, providing tools to search indices, list available indices, and retrieve index mappings.