Provides tools for OpenSearch cluster management, including index operations (listing, mapping, settings), cluster health monitoring, and document search capabilities.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@mcp-OpenSearch list all indices in the cluster"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
MCP (Model Context Protocol) server for OpenSearch integration which is inspired by elasticsearch-mcp-server.
Index Management Tools:
List all indices in OpenSearch cluster
Get index mapping
Get index settings
Cluster Management Tools:
Get cluster health status
Get cluster statistics
Document Tools:
Search documents
Related MCP server: Elastic MCP Server
# Clone the repository
git clone https://github.com/your-username/opensearch-mcp-server.git
cd opensearch-mcp-server
# Create and activate a virtual environment
python -m venv .venv
source .venv/bin/activate # On Windows: .venv\Scripts\activate
# Install the package
pip install uv
uv pip install -e .Create a .env file in the root directory with the following variables:
OPENSEARCH_HOST=https://localhost:9200
OPENSEARCH_USERNAME=xxxx
OPENSEARCH_PASSWORD=xxxxAdjust the values to match your OpenSearch configuration.
uv run opensearch-mcp-server --port=<port>{
"mcpServers": {
"opensearch": {
"url": "http://<host>:<port>>/sse"
}
}
}{
"mcpServers": {
"opensearch": {
"command": "uv",
"args": [
"--directory",
"/absolute/path/to/opensearch-mcp-server",
"run",
"opensearch-mcp-server"
]
}
}
}# Install dependencies
uv pip install -e .
# Run tests
uv run pytest -vv -s test_opensearch.pyThis server cannot be installed
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