Advertise
MCP.so
Sign In

MCP Memory

@Puliczek

Repository

Basic information

Category

Memory & Knowledge

Transports

stdio

Author

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

MCP Memory 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"
      ]
    }
  }
}

MCP Memory tools

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.

Fetch the live tool list by running this server in a temporary sandbox using the button above.

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

Frequently asked questions

1

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

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

2

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.

3

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.

4

Can I use different hosting?

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

5

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.

6

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

More Memory & Knowledge MCP servers

Sensefold

SenseFold Labs

Personal context for every AI: search, read, and write back to your private Markdown library of articles, threads, PDFs, notes, and captured ChatGPT/Claude/Gemini/Grok conversations. Remote server, OAuth 2.1 paste-and-au

Leviathan Systems Public Content MCP

Leviathan Systems

Search published GPU deployment, rack integration and structured cabling resources; read canonical documents and Leviathan Systems company service scope. Anonymous, read-only Streamable HTTP MCP. No credentials required.

Takibi Base

Deian Isac

Ask your Takibi Base collections anything; get answers with cited passages and a support score.

LoreKeeper RPG (lorekeeper.com)

LoreKeeper Ltd

Mess in, magic out: pour in your D&D and TTRPG notes and LoreKeeper keeps them as a private store for your world. Ask Claude or ChatGPT about it, or build a sourcebook.

Orcha

westonhancock

Orcha is a unified context layer for AI tools and agents. It stores and indexes and exposes organizational, team, or individual knowledge. Files, structured databases, and connected sources live in one workspace, and age

Advertise