# mcp-elasticsearch

> mcp-elasticsearch — sonirico-mcp-elasticsearch. Use this tool when you need to integrate AI systems with Elasticsearch clusters, solving data indexing and search functionality problems. It connects AI systems to Elasticsearch, accepting data inputs and producing searchable outputs. Ideal for use cases requiring efficient data retrieval and analysis, such as log analysis or data visualization.

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

## Description

MCP server connecting AI systems to Elasticsearch clusters

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/sonirico/mcp-elasticsearch)

## 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": "sonirico-mcp-elasticsearch"
    }
  }
}
```

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