# Elasticsearch MCP Server

> Use this tool when you need to interact with Elasticsearch databases using natural language conversations, enabling intuitive querying and indexing of data. It solves problems related to complex query formulation and data retrieval, providing a user-friendly interface for searching and managing Elasticsearch indices. The Elasticsearch MCP Server takes natural language inputs and returns relevant data outputs, making it ideal for use cases where simplicity and ease of use are essential.

Canonical page: https://skillsregistry.net/skills/rishab2404-mcp-es  
JSON: https://api.skillsregistry.net/v1/skills/rishab2404-mcp-es

## Description

Connects to Elasticsearch databases using the Model Context Protocol, allowing users to query and interact with their Elasticsearch indices through natural language conversations.

## Trust

- **Trust score (0–1):** 0.81
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/h7e05lu98r)
- **Repository:** <https://github.com/rishab2404/mcp_es>

## 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": "rishab2404-mcp-es"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rishab2404-mcp-es` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rishab2404-mcp-es/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