This MCP Memory server provides a conversation memory system for LLMs using Redis Graph for knowledge storage. It allows creating relationships between different types of memory nodes and provides powerful search capabilities.
docker-compose up -d
docker exec -it mcp-memory-redis-1 redis-cli
127.0.0.1:6379> MODULE LIST
You should see RedisGraph in the list of loaded modules.
npm install
npm start
By default, the application connects to Redis at localhost:6379. If you need to change these settings, update the Redis client configuration in src/index.ts
.
The application provides several tools for managing memories:
The system supports various memory types:
const memory = await memoryService.createMemory({
type: MemoryNodeType.CONVERSATION,
content: 'This is a conversation about Redis Graph',
title: 'Redis Graph Discussion',
});
const memories = await memoryService.searchMemories(
{ keyword: 'Redis' },
{ limit: 10, orderBy: 'created', direction: 'DESC' },
);
create_memory(
type: "Project",
name: "Fiat Vendor Disable Script",
description: "Script to disable fiat vendors in the system",
content: "The script is located at /scripts/disable-vendor.js and takes vendor ID as parameter"
)
create_memory(
type: "Issue",
title: "Payment Processing Timeout",
severity: "high",
status: "open",
content: "Payments are timing out when processing large transactions over $10,000"
)
create_relation(
fromId: "issue-123",
toId: "project-456",
type: "PART_OF"
)
npm run redis:cli
This will open a Redis CLI session with useful commands for working with the memory graph.
npm run check:graph
This shows all nodes, Finance memories, and relationships in the graph.
npm run inspect:graph
List all graphs:
GRAPH.LIST
Count all nodes:
GRAPH.QUERY memory "MATCH (n) RETURN count(n)"
View Finance memories:
GRAPH.QUERY memory "MATCH (n:Finance) RETURN n.id, n.title, n.content"
Search for specific content:
GRAPH.QUERY memory "MATCH (n) WHERE n.content CONTAINS 'debit card' RETURN n.id, n.type, n.content"
To run the MCP Memory server in Docker:
# Build the Docker image
docker build -t mcp/memory .
# Run the container on the same network as Redis
docker run --rm -i --network=mcp-memory_default -e REDIS_URL=redis://redis:6379 mcp/memory
To add this MCP server to Claude Code, run this command in your terminal:
claude mcp add-json "mcp-memory" '{"command":"npx","args":["-y","mcp-memory"]}'
See the official Claude Code MCP documentation for more details.
There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json
file so that it is available in all of your projects.
If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json
file.
To add a global MCP server go to Cursor Settings > Tools & Integrations and click "New MCP Server".
When you click that button the ~/.cursor/mcp.json
file will be opened and you can add your server like this:
{
"mcpServers": {
"mcp-memory": {
"command": "npx",
"args": [
"-y",
"mcp-memory"
]
}
}
}
To add an MCP server to a project you can create a new .cursor/mcp.json
file or add it to the existing one. This will look exactly the same as the global MCP server example above.
Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.
The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.
You can also explicitly ask the agent to use the tool by mentioning the tool name and describing what the function does.
To add this MCP server to Claude Desktop:
1. Find your configuration file:
~/Library/Application Support/Claude/claude_desktop_config.json
%APPDATA%\Claude\claude_desktop_config.json
~/.config/Claude/claude_desktop_config.json
2. Add this to your configuration file:
{
"mcpServers": {
"mcp-memory": {
"command": "npx",
"args": [
"-y",
"mcp-memory"
]
}
}
}
3. Restart Claude Desktop for the changes to take effect