Opensearch Mcp Server Py

Name: Opensearch Mcp Server Py
Author: opensearch-project

@opensearch-project

Repository

About Opensearch Mcp Server Py

No overview available yet

#opensearch #mcp-server #ai-assistant

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

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

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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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