Install guide and config at curatedmcp.com

Elastic Cloud MCP: Give Claude Direct Access to Your Elasticsearch and Kibana Data

Searching logs manually is slow. Analyzing metrics across dashboards takes context switching. What if Claude could do it for you?

Elastic Cloud MCP is the official integration that plugs your Elasticsearch and Kibana deployment directly into Claude, Cursor, and other AI agents. Instead of copying query syntax or explaining your schema, you can ask Claude to investigate anomalies, explore logs, or run analytics—and it talks to your Elastic Cloud instance in real time.

Built by Elastic and verified for production use, this server gives AI agents safe, structured access to your search and observability stack without exposing raw credentials or requiring manual data extraction.

What It Does

Elastic Cloud MCP turns your Elasticsearch indexes and Kibana dashboards into tools Claude can use directly.

You can ask Claude to:

• Query indexes and run analytics across your data in natural language
• Inspect dashboards and visualizations to understand what's already built
• Search logs, metrics, and traces without switching tools
• Explore schema mappings and see which fields are available
• Set up alerts and anomaly detection jobs programmatically
• Manage index templates and ingest pipelines for data ingestion flows

This is especially powerful for incident response—Claude can query your logs, correlate metrics, and surface the context you need without you leaving your editor or chat window.

How to Install

Install via npm:

npx -y @elastic/mcp

Then configure it in your claude_desktop_config.json:

{
  "mcpServers": {
    "elastic-cloud-mcp": {
      "command": "npx -y @elastic/mcp",
      "env": {
        "ELASTIC_CLOUD_ID": "your-deployment-id",
        "ELASTIC_API_KEY": "your-api-key"
      }
    }
  }
}

Get your Cloud ID and API key from your Elastic Cloud console, then restart Claude Desktop.

Real-World Use Cases

• Incident triage: Ask Claude to search error logs from the last hour, pull relevant metrics, and summarize what went wrong—all without manual queries.
• Schema exploration: New to a team's data model? Have Claude map out available fields, data types, and common usage patterns from your live indexes.
• Dashboard-driven analysis: Point Claude at a Kibana dashboard and ask it to explain the data, suggest optimizations, or dig deeper into anomalies it finds.

Full install guides for Claude Desktop, Cursor, Windsurf, and more at CuratedMCP.