Opensearch
Connects language models to an OpenSearch database for semantic memory storage and retrieval.
About
Provides an interface between Large Language Models (LLMs) and OpenSearch, a distributed search and analytics engine, via the Model Context Protocol (MCP). It allows LLMs to store and retrieve information from an OpenSearch database, enabling semantic memory capabilities for AI applications. The server offers tools for storing and querying data within OpenSearch, enhancing LLM applications by connecting them to external data sources.
Key Features
- Retrieves memories from OpenSearch based on queries.
- Utilizes FastMCP for server installation and management.
- Stores memories in OpenSearch using a JSON query format.
- Supports configuration via environment variables.
- Integrates with Claude Desktop using a configuration file.
Use Cases
- Augmenting LLM applications with semantic memory.
- Building AI-powered IDEs with contextual awareness.
- Enhancing chat interfaces with access to external data.
Sponsored