@mnemoverse/mcp-memory-server

Shared AI memory across Claude, Cursor, VS Code, ChatGPT, and any MCP client. Write once, recall anywhere.

Your agent remembers everything — across sessions, projects, and tools. One API key, one memory, everywhere.

Quick Start

1. Get a free API key

2. Connect to your AI tool

Claude Code — add via CLI:

claude mcp add mnemoverse \
  -e MNEMOVERSE_API_KEY=mk_live_YOUR_KEY \
  -- npx -y @mnemoverse/mcp-memory-server@latest

Cursor — add to .cursor/mcp.json:

{
  "mcpServers": {
    "mnemoverse": {
      "command": "npx",
      "args": [
        "-y",
        "@mnemoverse/mcp-memory-server@latest"
      ],
      "env": {
        "MNEMOVERSE_API_KEY": "mk_live_YOUR_KEY"
      }
    }
  }
}

VS Code — add to .vscode/mcp.json (note: VS Code uses servers, not mcpServers):

{
  "servers": {
    "mnemoverse": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@mnemoverse/mcp-memory-server@latest"
      ],
      "env": {
        "MNEMOVERSE_API_KEY": "mk_live_YOUR_KEY"
      }
    }
  }
}

Windsurf — add to ~/.codeium/windsurf/mcp_config.json:

{
  "mcpServers": {
    "mnemoverse": {
      "command": "npx",
      "args": [
        "-y",
        "@mnemoverse/mcp-memory-server@latest"
      ],
      "env": {
        "MNEMOVERSE_API_KEY": "mk_live_YOUR_KEY"
      }
    }
  }
}

Why @latest? Bare npx @mnemoverse/mcp-memory-server is cached indefinitely by npm and stops re-checking the registry. The @latest suffix forces a metadata lookup on every Claude Code / Cursor / VS Code session start (~100-300ms), so you always pick up new releases.

⚠️ Restart your AI client after editing the config. MCP servers are only picked up on client startup.

3. Try it — 30 seconds to verify it works

Paste this in your AI chat:

"Remember that my favourite TypeScript framework is Hono, and please call memory_write to save it."

Your agent should call memory_write and confirm the memory was stored.

Then open a new chat / new session (this is the whole point — memory survives restarts), and ask:

"What's my favourite TypeScript framework?"

Your agent should call memory_read, find the entry, and answer "Hono". If it does — you're wired up. Write whatever you want next.

If it doesn't remember: check that the client was fully restarted and the config has your real mk_live_... key, not the placeholder.

Tools

Tool	What it does
`memory_write`	Store a memory — insight, preference, lesson learned
`memory_read`	Search memories by natural language query
`memory_feedback`	Rate memories as helpful or not (improves future recall)
`memory_stats`	Check how many memories stored, which domains exist
`memory_delete`	Permanently delete a single memory by `atom_id`
`memory_delete_domain`	Wipe an entire domain (requires `confirm: true` safety interlock)

Ideas: What to Remember

User preferences: "I use dark mode", "I prefer Tailwind over CSS modules"
Project context: "This project uses PostgreSQL + Prisma", "Deploy to Railway"
Lessons learned: "Always run tests before push on this repo"
Decisions made: "We chose REST over GraphQL because of caching simplicity"
People & roles: "Alice is the designer, Bob owns the API"
Past mistakes: "Don't deploy on Fridays — learned this the hard way"

Universal Memory

The same API key works across all tools. Write a memory in Claude Code — read it in Cursor. Learn something in VS Code — your GPT Custom Action knows it too.

                    ┌── Claude Code (this MCP server)
                    ├── Cursor (this MCP server)
   Mnemoverse API ──├── VS Code (this MCP server)
   (one memory)     ├── GPT (Custom Actions)
                    ├── Python SDK (pip install mnemoverse)
                    └── REST API (curl)

Configuration

Env Variable	Required	Default
`MNEMOVERSE_API_KEY`	Yes	—
`MNEMOVERSE_API_URL`	No	`https://core.mnemoverse.com/api/v1`

Mnemoverse Memory

Quick Install