AI tools for Elastic
An AI tool for Elastic is software that helps an assistant or user work with Elastic data. It might be a connector, script, prompt helper, MCP server, import utility, or small workflow helper that reads Elasticsearch results, Kibana context, alerts, or observability data.
Why use AI tools with Elastic?
Elastic stores operational, search, security, and observability data. AI tools help turn that data into decisions by summarizing alerts, suggesting ES|QL, explaining anomalies, drafting reports, or preparing dashboard ideas.
Who benefits from AI tools?
Security analysts use AI tools for alert enrichment. SREs use them for root-cause analysis. Search engineers use them for RAG and Elasticsearch applications. Administrators use them to explain cluster or dashboard context faster.
How do you get started?
Pick a tool from this page, read its requirements, connect it to your Elasticsearch cluster or Kibana instance, and test it with sample data before using it on sensitive information.
How this differs from related AI resources
Tools are software connectors and utilities. Agents are semi-autonomous patterns that use tools. Workflows document repeatable steps. Skills are reusable instructions that tell an assistant how to behave.
Browse Elastic AI tools
Network Engineering Topology for Kibana
Import a clickable Kibana topology dashboard with Vega zone and adjacency views, plus an Agent Builder readiness agent that checks whether discovered devices have enough evidence for reliable map placement.
Network Analyzer Agents for Elastic
Use three Elastic Agent Builder agents and supporting ES|QL tools to analyze network health, packet evidence, Suricata findings, DNS/TLS risks, HTTP failures, and top conversations.
Elasticsearch MCP Server
A community Model Context Protocol server that exposes Elasticsearch operations to AI assistants with multi-version support from Elasticsearch 5.x through 9.x.
Elasticsearch Labs AI Search Notebooks
Prototype semantic search and RAG in Elasticsearch faster. Use this notebook pack when you want working examples for ELSER, hybrid search, reranking, LangChain, Bedrock, Cohere, Hugging Face, and AI search apps instead of starting from a blank notebook.
Related Elastic resources
Continue with Elastic Security downloads, Elastic Observability examples, ES|QL examples, and runtime field examples.