Create a semantic memory layer on top of OpenSearch for LLM applications.
This server implements the Model Context Protocol (MCP) to facilitate the integration of Large Language Models (LLMs) with OpenSearch, a powerful distributed search and analytics engine. It allows users to store and retrieve memories in the OpenSearch database, enabling enhanced AI workflows and interactions.
Key features include the ability to execute predefined tools for storing memories and querying data, making it suitable for applications like AI-powered IDEs and chat interfaces. The server is designed to be easily configurable and can be run locally or integrated with other applications like Claude Desktop.
With a focus on seamless connectivity and standardized operations, this MCP server provides a robust solution for leveraging the capabilities of OpenSearch in conjunction with LLMs, ensuring that applications can access and manipulate real-world data effectively.