MCP Memory is a server that implements a memory system for long-term storage of conversations with large language models (LLMs) using Redis Graph as the backend. It allows users to store, retrieve, and manage various types of memories effectively.
MCP Memory is a server that implements a memory system for long-term storage of conversations with large language models (LLMs) using Redis Graph as the backend. It allows users to store, retrieve, and manage various types of memories effectively.
To use MCP Memory, set up the environment by installing Docker and Node.js, then run the Redis container and the application using Docker Compose and npm commands.Add this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"mcp-memory-with-redis-graph": {
"command": "npx",
"args": [
"-y",
"To use MCP Memory, set up the environment by installing Docker and Node.js, then run the Redis container and the application using Docker Compose and npm commands."
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from MCP Memory with Redis Graph?"
No configuration required. This server works out of the box.
"What resources are available in MCP Memory with Redis Graph?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in MCP Memory with Redis Graph"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in MCP Memory with Redis Graph with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
We build custom MCP integrations for B2B companies. From simple connections to complex multi-tool setups.