Opensearch Mcp Server Py
@opensearch-project
About Opensearch Mcp Server Py
No overview available yet
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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