claude mcp add eandro19-cuba-memorys -- npx -y cuba-memorys
{
"mcpServers": {
"eandro19-cuba-memorys": {
"command": "npx",
"args": ["-y", "cuba-memorys"]
}
}
}
{
"mcpServers": {
"eandro19-cuba-memorys": {
"command": "npx",
"args": ["-y", "cuba-memorys"]
}
}
}
{
"mcpServers": {
"eandro19-cuba-memorys": {
"command": "npx",
"args": ["-y", "cuba-memorys"]
}
}
}
About This MCP Server
The cuba-memorys server is a persistent memory solution for AI agents, providing a knowledge graph and utilizing Hebbian learning and RRF search, as well as GraphRAG, to enable efficient information retrieval and storage. It can be integrated with AI coding assistants through standard input/output interfaces, allowing developers to leverage its search capabilities to enhance their AI models. Developers may use this server when they need to implement a robust and scalable memory system for their AI agents, particularly in applications where knowledge graph-based search is essential.
Persistent memory for AI agents. Knowledge graph, Hebbian learning, RRF search, GraphRAG.. This is a Model Context Protocol (MCP) server that extends AI assistants like Claude with search & web scraping capabilities via the stdio transport.
Package
cuba-memorys on npm
HOW TO USE
Select your AI client above to get the install command. This MCP server uses the stdio transport and is available on npm.
What tools does it provide?
The cuba-memorys server extends your AI assistant with search & web scraping capabilities. Once installed, your AI can use its tools automatically.
