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Opensearch MCP Server Qzc
An MCP protocol server based on OpenSearch, providing index list functionality.
rating : 2 points
downloads : 9
What is the OpenSearch MCP Server?
This is a lightweight server based on the Model Context Protocol (MCP), specifically designed for querying and managing OpenSearch indexes. It provides services through a simple standard input and output interface, making it particularly suitable for integration into automated workflows.How to use the OpenSearch MCP Server?
You just need to install the Python environment, configure the dependencies, and then run the server script. The server will communicate with the client program through standard input and output.Applicable scenarios
Suitable for scenarios where you need to query OpenSearch indexes programmatically, such as automated operations and maintenance, monitoring system integration, or development and debugging tools.Main features
Index list queryProvides the function of querying all indexes in OpenSearch and returns the index names and relevant metadata
Standard input and output interfaceCommunicates through simple standard input and output, making it easy to integrate into various environments
Advantages and limitations
Advantages
Lightweight design with low resource consumption
Simple interface design for easy integration
No complex network configuration required
Limitations
Currently, the functions are relatively basic and only support index query
Requires Python environment support
The standard input and output interface may not be suitable for high-concurrency scenarios
How to use
Prepare the Python environment
Ensure that Python 3.7 or a higher version is installed on the system
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Create a virtual environment
Use the uv tool to create an isolated Python environment
Activate the virtual environment
Activate the virtual environment on Unix/Linux systems
Install dependencies
Install all the dependencies required by the project
Run the server
Start the MCP server
Usage examples
Query all indexesGet the list of all indexes in the current OpenSearch cluster in an automated script
Frequently Asked Questions
How to add new tools/functions?
Can multiple instances be run simultaneously?
How to add new Python dependencies?
Related resources
OpenSearch official documentation
Complete documentation for OpenSearch
Model Context Protocol specification
Official specification of the MCP protocol
uv tool documentation
Documentation for the Python virtual environment management tool uv
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