Opensearch MCP Server Py

@opensearch-project

リポジトリ

基本情報

カテゴリ

データベース

ライセンス

Apache-2.0

トランスポート

stdio

作者

opensearch-project

Opensearch MCP Server Py について

概要はまだありません

#opensearch #mcp-server #ai-assistant

Opensearch MCP Server Py の設定

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": {
    "opensearch": {
      "command": "uvx",
      "args": [
        "opensearch-mcp-server-py"
      ]
    }
  }
}

Opensearch MCP Server Py のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。

概要

What is Opensearch Mcp Server Py?

Opensearch Mcp Server Py is a Model Context Protocol (MCP) server for OpenSearch that enables AI assistants to interact with OpenSearch clusters. It provides a standardized interface for AI models to perform operations like searching indices, retrieving mappings, and managing shards through both stdio and streaming (SSE/Streamable HTTP) protocols.

How to use Opensearch Mcp Server Py?

Install it via pip (pip install opensearch-mcp-server-py) and start the server with uvx opensearch-mcp-server-py. No environment variables are required; agents provide connection details dynamically on each tool call.

Key features of Opensearch Mcp Server Py

Seamless integration with AI assistants and LLMs through the MCP protocol
Supports stdio and streaming server transports (SSE and Streamable HTTP)
Dynamic per-call connection parameters for targeting different clusters
Easy integration with Claude Desktop and LangChain
Secure authentication using basic auth, IAM roles, header-based auth, and mTLS

Use cases of Opensearch Mcp Server Py

Perform OpenSearch operations through AI assistants
Monitor cluster health and shard allocation
Search and analyze OpenSearch indices using query DSL
Integrate with Claude Desktop and LangChain
Manage search relevance configurations and query sets

よくある質問

What transport protocols does the server support?

It supports both stdio and streaming (SSE and Streamable HTTP) protocols.

How do I install and run the server?

Install via `pip install

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