# mcp-elasticsearch

> mcp-elasticsearch — aeazer-mcp-elasticsearch. Use this tool when you need to integrate Elasticsearch with model context protocols for efficient data indexing and querying. It solves problems related to data search, retrieval, and management by providing a scalable and flexible search engine. The mcp-elasticsearch tool accepts model context data as input and outputs searchable indexes, ideal for use cases involving large datasets and complex queries.

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

## Description

An Elasticsearch MCP (Model Context Protocol) server

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/AeaZer/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": "aeazer-mcp-elasticsearch"
    }
  }
}
```

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