# MCP Server for OpenSearch

> Use this tool when you need to integrate large language models (LLMs) with OpenSearch for enhanced semantic search capabilities. It solves problems related to memory storage and retrieval, enabling more accurate and informed search results. The MCP Server for OpenSearch takes in LLM outputs and OpenSearch queries as inputs, and provides relevant memories and search results as outputs.

Canonical page: https://skillsregistry.net/skills/ibrookssdx-mcp-server-opensearch  
JSON: https://api.skillsregistry.net/v1/skills/ibrookssdx-mcp-server-opensearch

## Description

Provides a semantic memory layer that integrates LLMs with OpenSearch, enabling storage and retrieval of memories within the OpenSearch engine.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/n8ldec4vzj)
- **Repository:** <https://github.com/ibrooksSDX/mcp-server-opensearch>

## 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": "ibrookssdx-mcp-server-opensearch"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ibrookssdx-mcp-server-opensearch` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ibrookssdx-mcp-server-opensearch/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