# Elasticsearch 7.x

> Use this tool when you need to efficiently manage and interact with Elasticsearch clusters for robust search and analytics capabilities. It solves problems related to data management and querying by providing a streamlined interface through the MCP protocol. Ideal for projects requiring seamless integration with the MCP ecosystem for enhanced search functionality.

Canonical page: https://skillsregistry.net/skills/imlewc-elasticsearch7  
JSON: https://api.skillsregistry.net/v1/skills/imlewc-elasticsearch7

## Description

This MCP server implementation provides integration with Elasticsearch 7.x, allowing for efficient interaction and data management within Elasticsearch clusters. Developed by imlewc, it utilizes FastMCP and offers a streamlined interface for Elasticsearch operations through the MCP protocol. The server is particularly useful for projects requiring robust search and analytics capabilities while leveraging the MCP ecosystem.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/imlewc-elasticsearch7)
- **Repository:** <https://github.com/imlewc/elasticsearch7-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": "imlewc-elasticsearch7"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/imlewc-elasticsearch7` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/imlewc-elasticsearch7/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