mcp-server-opensearch: An OpenSearch MCP Server

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.
• Ability to run as a server for LLM applications.
• Supports configuration through environment variables and JSON files.

Use cases of mcp-server-opensearch?

1. Building AI-powered IDEs that require memory management.
2. Enhancing chat interfaces with contextual memory.
3. Creating custom AI workflows that need to store and retrieve data efficiently.

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 and tools.

• How do I install mcp-server-opensearch?

You can install it using the Smithery CLI or run it directly with the uv command.

• What is OpenSearch?

OpenSearch is a distributed search and analytics engine that allows for powerful data querying and analysis.