OpenSearch MCP Server
@showjason
OpenSearch MCP Server について
概要はまだありません
基本情報
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-mcp-server-showjason": {
"command": "python",
"args": [
"-m",
"venv",
".venv"
]
}
}
}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?
A Model Context Protocol (MCP) server that provides tools for interacting with an OpenSearch cluster. It lets you manage indices, monitor cluster health, and search documents through MCP‑compatible AI assistants.
How to use OpenSearch MCP Server?
Clone the repo, create a Python virtual environment, and install with uv. Configure a .env file with your OpenSearch host, username, and password. Run the server with uv run opensearch-mcp-server --port=<port>, then integrate it with Cursor or Claude Desktop using the provided MCP config snippets.
Key features of OpenSearch MCP Server
- List all indices in an OpenSearch cluster
- Get index mapping and settings
- Show cluster health status
- Retrieve cluster statistics
- Search documents
Use cases of OpenSearch MCP Server
- Use an AI assistant to check OpenSearch cluster health via natural language.
- Search for documents without writing raw queries.
- Automate index management tasks (e.g., inspecting mappings) through MCP tools.
FAQ from OpenSearch MCP Server
How does this server differ from elasticsearch-mcp-server?
It is inspired by elasticsearch-mcp-server but built specifically for OpenSearch, using OpenSearch endpoints and authentication.
What are the runtime dependencies?
Python, uv, and a running OpenSearch cluster. The server uses the uv package manager for installation.
Where does the data live?
All data stays in your OpenSearch cluster; the server only acts as a bridge between MCP clients and the cluster.
What transport or authentication does the server use?
The server listens on a configurable port for SSE (Server‑Sent Events) connections. Authentication is done via username/password set in the .env file.
Are there any known limitations?
The README does not mention specific limitations.
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