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.
Elastic AI tools download collection
Elastic AI tools include connectors, prompt helpers, scripts, MCP servers, and utilities that help assistants work with Elasticsearch, Kibana, Elastic Security, Observability, and Elastic Cloud data.
Use this category when you want software that helps an AI assistant query Elastic data, summarize alerts, draft ES|QL, review dashboards, or prepare operational reports. Check requirements carefully before connecting a tool to sensitive data.
Tools are different from skills and workflows. A tool is software. A skill is an instruction set. A workflow is the documented process that explains when and how the work should happen.
Start with the AI Tools landing page, then explore AI Agents, AI Workflows, and official Elastic AI resources.
Before using an AI tool with Elastic data, define what data it can access and what output it may produce. Avoid sending secrets or sensitive events to external models without review. Start with sample data, confirm the generated query or summary, and keep a human responsible for final decisions in security and operations workflows.
Good AI tools should be transparent. Document required permissions, configuration steps, model assumptions, and failure modes so users can test the tool safely before connecting it to important Elastic environments.
Use this collection
What you can do with AI Tools downloads
AI Tools content shows how AI assistants, agents, workflows, and reusable skills can support Elastic search, security, observability, and dashboard tasks.
How should I use these examples?
Download the content, import it into your Elastic environment, review the saved objects or rules, and adapt the fields, filters, and visualizations to your own data.
Where should I go next?
Use the related collections below to move between dashboards, security content, observability examples, pipelines, Elasticsearch resources, and AI-assisted Elastic workflows.
Explore Elastic content
Start from a use case, solution area, or content type to find useful Elastic resources.
End-to-End Observability
Business Critical Service health across UX, CDN, origin, network, and platform—including async hops without a single shared trace.
Kubernetes Observability
Kubernetes monitoring, OpenTelemetry, SLO, EKS, and ECK resources for Elastic users.
Network Observability
Packetbeat, DNS analytics, network signals, and observability patterns for Elastic.
Telco industry
Telco-focused paths for network visibility, service reliability, Kubernetes, and security monitoring.
Kibana dashboards
Ready-to-use dashboard examples for visualizing Elasticsearch data.
AI Tools downloads
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.