# Elastic MCP

> Use this tool when you need to manage and query Elasticsearch data using natural language. It connects to Elasticsearch clusters through the Model Context Protocol, enabling intuitive searching and management of indices and their mappings. Ideal for use cases requiring efficient data retrieval and indexing, such as data analysis and information retrieval applications.

Canonical page: https://skillsregistry.net/skills/akhilvis-elastic-mcp  
JSON: https://api.skillsregistry.net/v1/skills/akhilvis-elastic-mcp

## Description

Connects to Elasticsearch clusters through the Model Context Protocol, enabling natural language querying and management of Elasticsearch data. Provides tools to search indices, list available indices, and retrieve index mappings.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** maps-location
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/o5nmgk8mcc)
- **Repository:** <https://github.com/Akhilvis/elastic-mcp>

## 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": "akhilvis-elastic-mcp"
    }
  }
}
```

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