# elasticsearch-mcp

> Use this tool when you need to search, analyze, and interact with large datasets stored in Elasticsearch using natural language queries, solving problems such as data retrieval and analysis for AI assistants. It takes in natural language inputs and outputs relevant data and insights, enabling efficient data interaction. Ideal for use cases where complex Elasticsearch queries need to be simplified for AI agents.

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

## Description

Enables AI assistants to search, analyze, and interact with Elasticsearch through natural language.

## Trust

- **Trust score (0–1):** 0.55
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cn98b8o3tg)
- **Repository:** <https://github.com/bpamiri/elasticsearch-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": "bpamiri-elasticsearch-mcp"
    }
  }
}
```

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