# Elasticsearch MCP Server

> Use this tool when you need to interact with Elasticsearch data using natural language, enabling seamless querying and retrieval of indexed information. It solves problems of complex data querying and analysis by providing a simple, intuitive interface through MCP Clients. With Elasticsearch MCP Server, agents can input natural language queries and receive relevant data outputs, making it ideal for use cases requiring efficient data exploration and insight generation.

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

## Description

Connects agents to Elasticsearch data using the Model Context Protocol, allowing natural language interaction with Elasticsearch indices through MCP Clients like Claude Desktop and Cursor.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/p1bzvj7dt9)
- **Repository:** <https://github.com/awesimon/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": "awesimon-elasticsearch-mcp"
    }
  }
}
```

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