---
title: "Overview"
description: "Give your AI assistants persistent memory with the Model Context Protocol"
---

Supermemory MCP Server 4.0 gives AI assistants (Claude, Cursor, Windsurf, etc.) persistent memory across conversations. Built on Cloudflare Workers with Durable Objects for scalable, persistent connections.

## Quick Install

```bash
npx -y install-mcp@latest https://mcp.supermemory.ai/mcp --client claude --oauth=yes
```

Replace `claude` with your MCP client: `cursor`, `windsurf`, `vscode`, etc.

## Manual Configuration

Add to your MCP client config:

```json
{
  "mcpServers": {
    "supermemory": {
      "url": "https://mcp.supermemory.ai/mcp"
    }
  }
}
```

The server uses **OAuth** by default. Your client will discover the authorization server via `/.well-known/oauth-protected-resource` and prompt you to authenticate.

### API Key Authentication (Alternative)

If you prefer API keys over OAuth, get one from [app.supermemory.ai](https://app.supermemory.ai) and pass it in the `Authorization` header:

```json
{
  "mcpServers": {
    "supermemory": {
      "url": "https://mcp.supermemory.ai/mcp",
      "headers": {
        "Authorization": "Bearer sm_your_api_key_here"
      }
    }
  }
}
```

API keys start with `sm_` and skip OAuth when provided.

### Project Scoping

Scope all operations to a specific project with `x-sm-project`:

```json
{
  "mcpServers": {
    "supermemory": {
      "url": "https://mcp.supermemory.ai/mcp",
      "headers": {
        "x-sm-project": "your-project-id"
      }
    }
  }
}
```

## Tools

### `memory`

Save or forget information about the user.

| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
| `content` | string | Yes | The memory content to save or forget |
| `action` | `"save"` \| `"forget"` | No | Default: `"save"` |
| `containerTag` | string | No | Project tag to scope the memory |

### `recall`

Search memories and get user profile.

| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
| `query` | string | Yes | Search query to find relevant memories |
| `includeProfile` | boolean | No | Include user profile summary. Default: `true` |
| `containerTag` | string | No | Project tag to scope the search |

### `whoAmI`

Get the current logged-in user's information. Returns `{ userId, email, name, client, sessionId }`.

## Resources

| URI | Description |
|-----|-------------|
| `supermemory://profile` | User profile with stable preferences and recent activity |
| `supermemory://projects` | List of available memory projects |

## Prompts

### `context`

Inject user profile and preferences as system context for AI conversations. Returns a formatted message with the user's stable preferences and recent activity.
You can access this in Cursor and Claude Code by just doing /context, which will give the LLMs just enough context to use and query supermemory more.
**Purpose:** Unlike the `recall` tool (which searches for specific information) or the `profile` resource (which returns raw data), the `context` prompt provides a pre-formatted system message designed for context injection at the start of conversations.

| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
| `containerTag` | string | No | Project tag to scope the profile (max 128 chars) |
| `includeRecent` | boolean | No | Include recent activity in the profile. Default: `true` |

**Output format:**
- Includes instructions to save new memories using the `memory` tool
- **Stable Preferences:** Long-term user facts and preferences
- **Recent Activity:** Recent interactions and context (when `includeRecent` is `true`)
- Fallback message when no profile exists yet

**When to use:**
- Use `context` prompt for automatic system context injection at conversation start
- Use `recall` tool when you need to search for specific information
- Use `profile` resource when you need raw profile data for custom processing

<Card title="MCP Server Source Code" icon="github" href="https://github.com/supermemoryai/supermemory/tree/main/apps/mcp">
  View the open-source implementation
</Card>

