# Elasticsearch

> Use this tool when you need to interact with Elasticsearch clusters through natural language, enabling complex search operations and cluster management without requiring in-depth expertise. It provides a standardized interface for index operations, document searching, and cluster management, and integrates with conversational AI for seamless data exploration. Ideal for developers and data analysts, it simplifies Elasticsearch queries and cluster insights through intuitive natural language inputs.

Canonical page: https://skillsregistry.net/skills/cr7258-elasticsearch  
JSON: https://api.skillsregistry.net/v1/skills/cr7258-elasticsearch

## Description

This Elasticsearch MCP server implementation provides a standardized interface for interacting with Elasticsearch clusters through natural language. Developed to bridge the gap between large language models and Elasticsearch, it offers tools for index operations, document searching, and cluster management. The server leverages Docker for easy deployment of a 3-node Elasticsearch cluster with Kibana, and integrates seamlessly with Claude Desktop via a simple configuration. It's particularly useful for developers and data analysts who want to explore and manipulate Elasticsearch data using conversational AI, enabling natural language queries for complex search operations and cluster insights without requiring in-depth Elasticsearch expertise.

## Trust

- **Trust score (0–1):** 0.72
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/cr7258-elasticsearch)
- **Repository:** <https://github.com/cr7258/elasticsearch-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "cr7258-elasticsearch"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cr7258-elasticsearch` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cr7258-elasticsearch/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt