Opensearch Mcp Server Py

Created By

opensearch-projecta year ago

Overview

What is OpenSearch MCP Server Py?

OpenSearch MCP Server Py is a Model Context Protocol (MCP) server designed for OpenSearch, enabling AI assistants to interact with OpenSearch clusters through a standardized interface.

How to use OpenSearch MCP Server Py?

To use the server, install it via pip with the command pip install opensearch-mcp-server-py, and follow the user guide for configuration and usage instructions.

Key features of OpenSearch MCP Server Py?

Seamless integration with AI assistants and LLMs through the MCP protocol.
Support for stdio and Server-Sent Events (SSE) server transports.
Built-in tools for common OpenSearch operations.
Easy integration with Claude Desktop and LangChain.
Secure authentication using basic auth or IAM roles.

Use cases of OpenSearch MCP Server Py?

Enabling AI models to perform search operations on OpenSearch indices.
Managing OpenSearch shards and retrieving mappings.
Facilitating communication between AI assistants and OpenSearch clusters.

FAQ from OpenSearch MCP Server Py?

What is the MCP protocol?

The Model Context Protocol (MCP) is a standardized interface for AI models to interact with data sources like OpenSearch.

How can I contribute to the project?

You can check the contributing guidelines in the project repository for more information on how to contribute.

Project Info

Created At

a year ago

Updated At

a year ago

Author Name

opensearch-project

Star

Language

Python

License

Apache-2.0 license

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