# opensearch-mcp-server

> opensearch-mcp-server — capelabs-opensearch-mcp-server. Use this tool when you need to deploy and manage OpenSearch 3.0 with MCP Server for scalable search and analytics capabilities. It solves problems related to data search, indexing, and retrieval, providing a robust interface for data ingestion and query processing. Ideal for use cases involving large datasets and complex search queries, it accepts data inputs via git and outputs searchable indexes and query results.

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

## Description

OpenSearch 3.0 with MCP Server

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/capelabs/opensearch-mcp-server)

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

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