mcp-server-opensearch: An OpenSearch MCP Server
Overview
What is mcp-server-opensearch?
The mcp-server-opensearch is an implementation of a Model Context Protocol (MCP) server designed to work with OpenSearch, a distributed search and analytics engine. It serves as a semantic memory layer that allows for the storage and retrieval of memories in the OpenSearch database.
How to use mcp-server-opensearch?
To use the mcp-server-opensearch, you can install it via Smithery or run it directly using the uv command. Configuration is done through a JSON file or environment variables to connect to your OpenSearch instance.
Key features of mcp-server-opensearch?
- Seamless integration with OpenSearch for memory storage and retrieval.
- Supports asynchronous operations for efficient data handling.
- Easy installation and configuration through command-line tools.
Use cases of mcp-server-opensearch?
- Building AI-powered applications that require context-aware memory management.
- Enhancing chat interfaces with memory capabilities.
- Creating custom AI workflows that leverage external data sources.
FAQ from mcp-server-opensearch?
- What is the Model Context Protocol (MCP)?
MCP is an open protocol that facilitates the integration of LLM applications with external data sources.
- How do I install mcp-server-opensearch?
You can install it using the Smithery CLI or run it directly with the
uvcommand.
- What is OpenSearch?
OpenSearch is a distributed search and analytics engine that allows for scalable data storage and retrieval.
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