AI & MemoryMCP Registryremote5 toolsB · 68

Atlaso Memory MCP server

Name: Atlaso Memory
Author: atlaso.ai

ai.atlaso · Updated 3d ago

Atlaso, the AI memory layer: one shared, persistent memory for every AI tool you connect.

At a glance

Atlaso Memory is an MCP server in the AI & Memory category. It is hosted remotely and connects over HTTP, and declares no required credentials. It exposes 5 tools, including recall, remember and recent. It scores B (68/100) on the MCP Skills Hub health score as of Oct 28, 2026.

Source 0

One-click install

VS Code VS Code Insiders Cursor

Opens your editor and pre-fills the config. Your editor will ask before adding it.

How to install Atlaso Memory in your AI client

Setup for Claude Code, Claude Desktop, Cursor, Codex, Windsurf, Cline and VS Code — copy-paste ready.

How to install Atlaso Memory in Claude CodeAnthropic's agentic CLI

Add the server

bash

claude mcp add --transport http atlaso https://mcp.atlaso.ai/mcp

2
Verify it's connected
bash
```
claude mcp list
```
Sharing it with your team?
Add `--scope project` to write it to .mcp.json in the repository root, which you can commit (with the secrets left as environment variables).
Use it in a session
Ask Claude to use the tools this server exposes (e.g. recall, remember, recent). It discovers them automatically.

How to install Atlaso Memory in Claude DesktopDesktop app (MCP config)

Open your MCP config
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json · Windows: %APPDATA%\Claude\claude_desktop_config.json

Add this server

json

{
  "mcpServers": {
    "atlaso": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://mcp.atlaso.ai/mcp"
      ]
    }
  }
}

Why the wrapper?
This is a remote (HTTP) server and Claude Desktop only launches local processes, so mcp-remote proxies the connection. It will open a browser window if the server needs OAuth.
Restart Claude Desktop
The tools appear under the 🔌 menu once the app reloads.

How to install Atlaso Memory in CursorAI-first code editor

Create / edit .cursor/mcp.json in your project

json

{
  "mcpServers": {
    "atlaso": {
      "url": "https://mcp.atlaso.ai/mcp"
    }
  }
}

Enable it
Cursor Settings → MCP → toggle the server on. Tools become available to the Composer/Agent.

How to install Atlaso Memory in Codex CLIOpenAI coding agent

Add to ~/.codex/config.toml

toml

[mcp_servers.atlaso]
command = "npx"
args = ["-y", "mcp-remote", "https://mcp.atlaso.ai/mcp"]

Why the wrapper?
Codex runs MCP servers as local processes, so mcp-remote bridges this HTTP endpoint to stdio.
Run Codex
Codex loads MCP servers from config.toml on startup and exposes their tools to the agent.

How to install Atlaso Memory in WindsurfCodeium's agentic IDE

Edit ~/.codeium/windsurf/mcp_config.json

json

{
  "mcpServers": {
    "atlaso": {
      "serverUrl": "https://mcp.atlaso.ai/mcp"
    }
  }
}

Reload
Windsurf → Cascade → refresh MCP servers. Cascade can now call the tools.

How to install Atlaso Memory in ClineVS Code autonomous agent

Open Cline → MCP Servers → Configure
Adds to cline_mcp_settings.json.

Add the server

json

{
  "mcpServers": {
    "atlaso": {
      "type": "streamableHttp",
      "url": "https://mcp.atlaso.ai/mcp"
    }
  }
}

How to install Atlaso Memory in VS CodeCopilot / MCP support

Create .vscode/mcp.json

json

{
  "servers": {
    "atlaso": {
      "type": "http",
      "url": "https://mcp.atlaso.ai/mcp"
    }
  }
}

Start it
VS Code shows a ▶ Start action above the server entry. Agent mode (Copilot Chat) can then use the tools.

What tools does Atlaso Memory expose? (5)

Taken from the project's README — the server itself was not queried, so check its docs for the exact schemas.

recallSearch your memory for notes relevant to `query`. Returns a ranked list of `{id, content}`. Read-only.
rememberSave a durable note — a decision, preference, or gotcha. `polarity` is one of `positive`, `open`, `cautionary`, `negative`. Returns the new id.
recentList the most recent memories, newest first. Read-only.
forgetPermanently delete a memory by id. Destructive and not undoable.
statusConnection state, how many memories are stored and pending, and your memory health score. Read-only.

What the code can do

This is a remote server — nothing is installed or run on your machine, so there is no local code to analyze. What it can reach is described above: your requests go to the provider's host.

Before you install

Signals gathered from the source repo and package registry — not a safety verdict.

What it can reach

Third-party hosted service — Your requests and any data in them are sent to mcp.atlaso.ai.
No local execution — Nothing is installed or run on your machine.

Last commit 3 days ago — Actively maintained.
0 GitHub stars — Very little community usage so far.
No license declared — Without a license the code is not legally reusable in a commercial project.

Client compatibility

Claude Code: NativeClaude Desktop: Via mcp-remoteCursor: NativeCodex CLI: Via mcp-remoteWindsurf: NativeCline: NativeVS Code: Native

Health score

B · 68

Maintenance, adoption, transparency and packaging — not a safety audit. How this is calculated

Maintenance30%100%
Last commit 3 days ago.
Adoption20%0%
0 stars.
Transparency20%75%
3/4: ✓ public source repo, ✗ declared license, ✓ documentation, ✓ discoverable tool list.
Provenance15%75%
Links to its own repository; package linkage unverified.
Packaging15%75%
Remote endpoint; authentication requirements not declared.

Documentation

Full README

Atlaso — remote MCP server

Atlaso is an AI memory layer: one shared, persistent memory across every AI tool you connect.

Tell it once in one tool, and it's already there in the next. Atlaso recalls the context that matters before each turn and captures the durable facts after — your decisions, your preferences, and where you left off.

This repository documents Atlaso's hosted MCP server. Atlaso is a managed service, so there is nothing to self-host and no server code here — you connect to the endpoint below and authorize in your browser.

Endpoint: https://mcp.atlaso.ai/mcp
Transport: Streamable HTTP
Auth: OAuth 2.1 with dynamic client registration — your MCP client walks you

through it; there are no API keys to paste

Website: https://www.atlaso.ai
Docs: https://docs.atlaso.ai

Why this exists

Claude Desktop, Zed, Cline and other MCP clients have no memory of their own that reaches your coding tools. This hosted server gives any MCP client the same memory your coding tools share: decisions made in long chats, research and notes, preferences that should follow you. Memory works when the model calls the tools (remember, recall, forget); a skill can make that routine. Add https://mcp.atlaso.ai/mcp as a connector and sign in. Claude Desktop · Any MCP tool

Connect

Any MCP client that supports remote servers can connect. Add https://mcp.atlaso.ai/mcp as a connector and authorize in the browser when prompted.

Claude Desktop / claude.ai — Settings → Connectors → Add custom connector → paste the endpoint → Connect → authorize.

Cursor, VS Code, and other MCP clients — add it as a remote MCP server:

json

{
  "mcpServers": {
    "atlaso": {
      "url": "https://mcp.atlaso.ai/mcp"
    }
  }
}

Alternatives to Atlaso Memory

Maintain Atlaso Memory? Add a badge to your README

Shows its health grade, and links readers to install steps for every client.

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