About OpenSearch MCP Server
OpenSearch MCP Server lets MCP clients search documents and inspect indices and cluster status in OpenSearch. It is for users managing or querying OpenSearch clusters through tools such as Claude Desktop.
Key features
- 01List indices
- 02Retrieve index mappings and settings
- 03Search documents with Query DSL
- 04Read cluster health and statistics
Use cases
- 01Search documents in an index
- 02Inspect an index’s mapping or settings
- 03Check cluster health and statistics
MCP support
Exposes OpenSearch index, document-search, and cluster operations as MCP tools for clients.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEOpenSearch MCP Server
Overview
This Repository Fork of elastic-mcp-server and Converted to opensearch-mcp-server MCP Server. It is a Model Context Protocol (MCP) server implementation that provides opensearch interaction. This server enables searching documents, analyzing indices, and managing cluster through a set of tools.
A Model Context Protocol (MCP) server implementation that provides opensearch interaction. This server enables searching documents, analyzing indices, and managing cluster through a set of tools.
Features
Index Operations
list_indices: List all indices in the Opensearch cluster.get_mapping: Retrieve the mapping configuration for a specific index.get_settings: Get the settings configuration for a specific index.
Document Operations
search_documents: Search documents in an index using Opensearch Query DSL.
Cluster Operations
get_cluster_health: Get health status of the cluster.get_cluster_stats: Get statistical information about the cluster.
Start Opensearch Cluster
Start the Opensearch cluster using Docker Compose:
docker-compose up -d
This will start a 3-node Opensearch cluster and Kibana. Default Opensearch username opensearch, password test123.
You can access Kibana from http://localhost:5601.
Usage with Claude Desktop
Using uv with local development
Using uv requires cloning the repository locally and specifying the path to the source code. Add the following configuration to Claude Desktop's config file claude_desktop_config.json.
you need to change path/to/src/opensearch_mcp_server to the path where you cloned the repository.
{
"mcpServers": {
"opensearch": {
"command": "uv",
"args": [
"--directory",
"path/to/src/opensearch_mcp_server",
"run",
"opensearch-mcp-server"
],
"env": {
"OPENSEARCH_HOST": "https://localhost:9200",
"OPENSEARCH_USERNAME": "opensearch",
"OPENSEARCH_PASSWORD": "test123",
"DASHBOARDS_HOST": "https://localhost:5601"
}
}
}
}
- On macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - On Windows:
%APPDATA%/Claude/claude_desktop_config.json
Restart Claude Desktop to load the new MCP server.
Now you can interact with your Opensearch cluster through Claude using natural language commands like:
- "List all indices in the cluster"
- "How old is the student Bob?"
- "Show me the cluster health status"
License
This project is licensed under the Apache License Version 2.0 - see the LICENSE file for details.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.