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A scalable search and analytics platform (Elastic Stack) for search, observability, security, and Search AI use cases.
A scalable search and analytics platform (Elastic Stack) for search, observability, security, and Search AI use cases.
Elastic delivers the Elastic Search AI Platform — a distributed search and analytics stack built around Elasticsearch, Kibana, Beats, and Elastic Agent. It ingests logs, metrics, traces, documents, and embeddings, providing full-text search, vector and hybrid search, real-time analytics, visualization, alerting, and security capabilities. Elastic can be run self-managed or as a managed Elastic Cloud service, and includes integrations and SDKs for many languages plus tooling for Retrieval-Augmented Generation, semantic search, and generative Search AI workflows. Its value lies in combining high-performance, scalable search with observability and security features in a single platform, enabling fast time-to-insight across enterprise data.
https://www.elastic.co/docs/solutions/search/mcp
https://github.com/elastic/mcp-server-elasticsearch?tab=readme-ov-file#elasticsearch-mcp-server
💡 MCP (Model Context Protocol) enables AI assistants to securely interact with local and remote resources.