What runtime dependencies are required?
Docker and Docker Compose, Node.js v16 or higher, and a Redis instance with the RedisGraph module.
@samwang0723
Basic information
MCP Server for long term memory graph
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-memory": {
"command": "docker",
"args": [
"exec",
"-it",
"mcp-memory-redis-1",
"redis-cli"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
MCP Memory with Redis Graph is a server that implements a memory system for LLM conversations, using Redis Graph as a backend to store memories as nodes in a knowledge graph. It’s designed for developers and AI assistants who need persistent, relational memory for context across sessions.
Run Redis with the RedisGraph module via Docker Compose, then install dependencies with npm install and start the application with npm start. The server exposes tools for creating, retrieving, searching, updating, and deleting memories, as well as managing relationships between them.
create_relation and get_related_memoriesDocker and Docker Compose, Node.js v16 or higher, and a Redis instance with the RedisGraph module.
By default, the application connects to localhost:6379. Update the Redis client configuration in `src/index.ts` to change host or port.
Yes, build the Docker image with `docker build -t mcp/memory .` and run it on the same network as Redis, passing the `REDIS_URL` environment variable.
The README does not specify transport details; it uses the MCP protocol for tool invocation.
Use `npm run check:graph` to see all nodes, Finance memories, and relationships, or `npm run inspect:graph` for a detailed schema and contents.

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