mcp-server-opensearch: An OpenSearch MCP Server

Name: mcp-server-opensearch: An OpenSearch MCP Server
Author: ibrooksSDX

@ibrooksSDX

リポジトリ

mcp-server-opensearch: An OpenSearch MCP Server について

概要はまだありません

#mcp-server-opensearch #opensearch #mcp

基本情報

カテゴリ

データベース

ライセンス

Apache-2.0

ランタイム

python

トランスポート

stdio

公開者

ibrooksSDX

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "mcp-server-opensearch": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli",
        "install",
        "@ibrooksSDX/mcp-server-opensearch",
        "--client",
        "claude"
      ]
    }
  }
}

ツール

`query` (json): prepared json query message

Confirmation message

概要

What is mcp-server-opensearch?

mcp-server-opensearch is a Model Context Protocol server that integrates with OpenSearch, a distributed search and analytics engine, to act as a semantic memory layer for LLM applications. It provides a standardized way to store and retrieve memories in an OpenSearch database.

How to use mcp-server-opensearch?

Install via Smithery (npx -y @smithery/cli install @ibrooksSDX/mcp-server-opensearch --client claude) or run directly with uv run mcp-server-opensearch --opensearch-url "http://localhost:9200" --index-name "my_index". Configure using command-line arguments or environment variables (OPENSEARCH_HOST, OPENSEARCH_HOSTPORT, INDEX_NAME). Add to Claude Desktop's claude_desktop_config.json with the appropriate command and args.

Key features of mcp-server-opensearch

Provides a single tool search-openSearch to query OpenSearch.
Acts as a semantic memory layer on top of OpenSearch.
Supports configuration via CLI arguments or environment variables.
Can be installed automatically via Smithery for Claude Desktop.
Uses FastMCP for development and testing.
Includes a demo script (demo.py) for quick setup.

Use cases of mcp-server-opensearch

Storing and retrieving memories in an OpenSearch database from an LLM.
Enhancing AI chat interfaces with persistent searchable context.
Building custom AI workflows that require a semantic memory layer.

FAQ from mcp-server-opensearch

What is the current blocker for the async client?

The async client from OpenSearch

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