MCP Memory

@Puliczek

About MCP Memory

🔥🖥️ MCP Memory is a MCP Server that gives MCP Clients (Cursor, Claude, Windsurf and more) the ability to remember information about users (preferences, behaviors) across conversations.

#mcp #cloudflare #memory #mcp-server

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-memory-puliczek": {
      "command": "npx",
      "args": [
        "wrangler",
        "vectorize",
        "create",
        "mcp-memory-vectorize",
        "--dimensions",
        "1024",
        "--metric",
        "cosine"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is MCP Memory?

MCP Memory is an MCP server that gives MCP clients (Cursor, Claude, Windsurf, and more) the ability to remember information about users across conversations. It uses vector search technology to find relevant memories based on meaning, not just keywords, and is built with Cloudflare Workers, D1, Vectorize, Durable Objects, Workers AI, and Agents.

How to use MCP Memory?

You can deploy your own instance via a one‑click Cloudflare button, by using the repository template, or by creating with the Cloudflare CLI. After deployment, configure the required Vectorize index (dimensions 1024, metric cosine) and install dependencies. The server can also be run locally with wrangler dev for development.

Key features of MCP Memory

Semantic memory retrieval using vector embeddings
Built on Cloudflare’s free‑tier infrastructure
Isolated namespaces per user for data separation
Built‑in rate limiting (100 req/min, configurable)
Supports MCP clients like Cursor, Claude, Windsurf
Open‑source, self‑hostable on Cloudflare

Use cases of MCP Memory

Store and recall user preferences and behaviors across conversations
Maintain a persistent knowledge base of technical documentation or procedures
Track user interactions and common usage patterns
Keep project notes, decisions, and updates accessible via semantic search

FAQ from MCP Memory

Can I use memory.mcpgenerator.com to store my memories?

Yes, you can use the hosted service for free, but availability is not guaranteed.

Can I host my own instance?

Yes, you can host your own instance for free on Cloudflare using Workers, Vectorize, D1 Database, and Workers AI.

Can I run it locally?

Yes, you can run MCP Memory locally for development with wrangler dev, though some features require a connection to Cloudflare’s services.

Can I use different hosting?

No, MCP Memory is specifically designed for Cloudflare’s infrastructure.

Can I use it for more than one person?

Yes, each user gets their own isolated memory space, making it suitable for multi‑user applications.

Can I store things other than memories?

Yes, MCP Memory can store any text‑based information, such as knowledge bases, user behaviors, and project notes.

Frequently asked questions

Can I use memory.mcpgenerator.com to store my memories?

Yes, you can use the hosted service for free, but availability is not guaranteed.

Can I host my own instance?

Yes, you can host your own instance for free on Cloudflare using Workers, Vectorize, D1 Database, and Workers AI.

Can I run it locally?

Yes, you can run MCP Memory locally for development with `wrangler dev`, though some features require a connection to Cloudflare’s services.

Can I use different hosting?

No, MCP Memory is specifically designed for Cloudflare’s infrastructure.

Can I use it for more than one person?

Yes, each user gets their own isolated memory space, making it suitable for multi‑user applications.

Can I store things other than memories?

Yes, MCP Memory can store any text‑based information, such as knowledge bases, user behaviors, and project notes.

Comments

Basic information

More Memory & Knowledge MCP servers

Context Portal MCP (ConPort)

GreatScottyMac

Context Portal (ConPort): A memory bank MCP server building a project-specific knowledge graph to supercharge AI assistants. Enables powerful Retrieval Augmented Generation (RAG) for context-aware development in your IDE.

763