opensearch-mcp-server
Manage and interact with an OpenSearch cluster by utilizing tools for index management, cluster health monitoring, and document searching. Streamline the management of indices and clusters while seamlessly integrating into applications.
Author

showjason
MIT License
Quick Info
Tools 1
Last Updated 2026-02-19
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Tags
opensearchclusterclustersopensearch clusteropensearch mcpindices clusters
OpenSearch MCP Server
MCP (Model Context Protocol) server for OpenSearch integration which is inspired by elasticsearch-mcp-server.
Features
- 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
Installation
# 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 .
Configuration
Create a .env file in the root directory with the following variables:
OPENSEARCH_HOST=https://localhost:9200
OPENSEARCH_USERNAME=xxxx
OPENSEARCH_PASSWORD=xxxx
Adjust the values to match your OpenSearch configuration.
Usage with Cursor
Run the MCP server:
uv run opensearch-mcp-server --port=<port>
Integrate with Cursor
{
"mcpServers": {
"opensearch": {
"url": "http://<host>:<port>>/sse"
}
}
}
Usage with Claude Desktop APP
{
"mcpServers": {
"opensearch": {
"command": "uv",
"args": [
"--directory",
"/absolute/path/to/opensearch-mcp-server",
"run",
"opensearch-mcp-server"
]
}
}
}
Development
# Install dependencies
uv pip install -e .
# Run tests
uv run pytest -vv -s test_opensearch.py
License
MIT
