# OpenSearch Documentation

> Use this tool when you need to search OpenSearch's official documentation, blog posts, and community forums for technical information, troubleshooting, or staying updated with the latest features and discussions. It provides a unified search interface with pagination support, handling various content types and utilizing LRU caching for optimized performance. Ideal for developers seeking assistance with OpenSearch-related queries, it integrates with public search APIs to deliver relevant results.

Canonical page: https://skillsregistry.net/skills/tkykenmt-opensearch-docs  
JSON: https://api.skillsregistry.net/v1/skills/tkykenmt-opensearch-docs

## Description

Provides search capabilities across OpenSearch's official documentation, blog posts, and community forum through three dedicated tools. Built using Python and the FastMCP framework, it integrates with OpenSearch's public search APIs to query technical documentation, find relevant blog content, and search forum discussions with pagination support. The implementation includes LRU caching for performance optimization and handles different content types appropriately, making it useful for developers who need assistance with OpenSearch-related questions, troubleshooting, or staying updated with the latest features and community discussions.

## 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:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/tkykenmt-opensearch-docs)
- **Repository:** <https://github.com/tkykenmt/opensearch-docs-search>

## 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": "tkykenmt-opensearch-docs"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tkykenmt-opensearch-docs` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tkykenmt-opensearch-docs/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