OpenSearch MCP Server provides a bridge between AI assistants and OpenSearch databases, enabling direct querying and data retrieval capabilities. Built with Python 3.10, it leverages the opensearch-py library and FastMCP framework to establish secure connections to OpenSearch clusters using configurable authentication credentials. The server can be deployed as a Docker container or run locally, with environment variables controlling connection settings. This implementation is particularly valuable for workflows requiring real-time access to data stored in OpenSearch, such as log analysis, document retrieval, and structured data querying without leaving the conversation interface.
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