About OpenSearch MCP Server
OpenSearch MCP Server connects OpenSearch clusters to MCP clients, exposing index, cluster, and document search operations. It is for users who need to inspect OpenSearch data through MCP tools.
Key features
- 01List cluster indices
- 02Read index mappings and settings
- 03Check cluster health and statistics
- 04Search documents
Use cases
- 01Review available indices
- 02Inspect index configuration
- 03Check cluster status
- 04Search indexed documents
MCP support
It exposes tools for listing indices, retrieving mappings and settings, checking cluster health and statistics, and searching documents to MCP 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
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
Comments
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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.