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qualityA Model Context Protocol server that enables LLMs to interact with Elasticsearch clusters, allowing them to manage indices and execute search queries using natural language.
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Why this server?
This server enables LLMs to interact with Elasticsearch clusters, allowing them to manage indices and execute search queries using natural language.
Why this server?
Provides integration with Elasticsearch 7.x databases, supporting comprehensive search functionality including aggregations, highlighting, and sorting.
Why this server?
Connects Claude and other MCP clients to Elasticsearch data, allowing users to interact with their Elasticsearch indices through natural language conversations.
Why this server?
Enables users to search and filter open source issues related to climate change and sustainability projects through the ClimateTriage API. The API results could be stored in Elasticsearch.
Why this server?
This server integrates with GitHub Advanced Security to load security alerts. These alerts can be stored, managed, and queried with Elasticsearch.
Why this server?
An MCP server implementation that enables AI assistants to search for tutors on Manalink platform by subject, grade level, and other criteria. Search results can be stored in Elasticsearch.
Why this server?
Node.js server that allows searching Discourse forum posts through the Model Context Protocol (MCP), enabling AI assistants to retrieve content from Discourse forums. Discourse forum data can be stored in Elasticsearch.
Why this server?
A Model Context Protocol server that enables Large Language Models to query New Relic logs and metrics using NRQL queries. The New Relic logs could be indexed in Elasticsearch.
Why this server?
A Model Context Protocol server that enables natural language querying of the Censys Search API for domain, IP, and FQDN reconnaissance, providing information about hosts, DNS, certificates, and services in real-time. The results can be stored in Elasticsearch.
Why this server?
A Model Context Protocol server that enables Large Language Models to retrieve New Relic logs and metrics using NRQL queries. New Relic can push logs into Elasticsearch for queries.