Can I use memory.mcpgenerator.com to store my memories?
Yes, you can use the hosted service for free, but availability is not guaranteed.
@Puliczek
Basic information
🔥🖥️ 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.
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"
]
}
}
}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.
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.
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.
Yes, you can use the hosted service for free, but availability is not guaranteed.
Yes, you can host your own instance for free on Cloudflare using Workers, Vectorize, D1 Database, and Workers AI.
Yes, you can run MCP Memory locally for development with `wrangler dev`, though some features require a connection to Cloudflare’s services.
No, MCP Memory is specifically designed for Cloudflare’s infrastructure.
Yes, each user gets their own isolated memory space, making it suitable for multi‑user applications.
Yes, MCP Memory can store any text‑based information, such as knowledge bases, user behaviors, and project notes.

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

Persistent memory for AI agents. Hosted MCP server with capsule-scoped key/value storage, tags, TTL expiration, bulk ops, and RBAC.

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
Shared, serverless, conflict-free memory for AI agents: a multi-machine drop-in for the MCP memory knowledge graph.
Project context your AI can query through MCP — with source evidence.
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