Opensearch Mcp Server Py

Name: Opensearch Mcp Server Py
Author: opensearch-project

@opensearch-project

リポジトリ

Opensearch Mcp Server Py について

概要はまだありません

#opensearch #mcp-server #ai-assistant

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

opensearch-project

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"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

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

FAQ from Opensearch Mcp Server Py

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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