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Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
129 lines
4.1 KiB
Text
129 lines
4.1 KiB
Text
---
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title: "Overview"
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description: "Give your AI assistants persistent memory with the Model Context Protocol"
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icon: "brain-circuit"
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---
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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.
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## Quick Install
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```bash
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npx -y install-mcp@latest https://mcp.supermemory.ai/mcp --client claude --oauth=yes
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```
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Replace `claude` with your MCP client: `cursor`, `windsurf`, `vscode`, etc.
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## Manual Configuration
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Add to your MCP client config:
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```json
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{
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"mcpServers": {
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"supermemory": {
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"url": "https://mcp.supermemory.ai/mcp"
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}
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}
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}
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```
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The server uses **OAuth** by default. Your client will discover the authorization server via `/.well-known/oauth-protected-resource` and prompt you to authenticate.
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### API Key Authentication (Alternative)
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If you prefer API keys over OAuth, get one from [app.supermemory.ai](https://app.supermemory.ai) and pass it in the `Authorization` header:
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```json
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{
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"mcpServers": {
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"supermemory": {
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"url": "https://mcp.supermemory.ai/mcp",
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"headers": {
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"Authorization": "Bearer sm_your_api_key_here"
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}
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}
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}
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}
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```
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API keys start with `sm_` and skip OAuth when provided.
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### Project Scoping
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Scope all operations to a specific project with `x-sm-project`:
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```json
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{
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"mcpServers": {
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"supermemory": {
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"url": "https://mcp.supermemory.ai/mcp",
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"headers": {
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"x-sm-project": "your-project-id"
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}
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}
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}
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}
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```
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## Tools
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### `memory`
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Save or forget information about the user.
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| Parameter | Type | Required | Description |
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|-----------|------|----------|-------------|
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| `content` | string | Yes | The memory content to save or forget |
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| `action` | `"save"` \| `"forget"` | No | Default: `"save"` |
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| `containerTag` | string | No | Project tag to scope the memory |
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### `recall`
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Search memories and get user profile.
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| Parameter | Type | Required | Description |
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|-----------|------|----------|-------------|
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| `query` | string | Yes | Search query to find relevant memories |
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| `includeProfile` | boolean | No | Include user profile summary. Default: `true` |
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| `containerTag` | string | No | Project tag to scope the search |
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### `whoAmI`
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Get the current logged-in user's information. Returns `{ userId, email, name, client, sessionId }`.
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## Resources
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| URI | Description |
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|-----|-------------|
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| `supermemory://profile` | User profile with stable preferences and recent activity |
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| `supermemory://projects` | List of available memory projects |
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## Prompts
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### `context`
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Inject user profile and preferences as system context for AI conversations. Returns a formatted message with the user's stable preferences and recent activity.
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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.
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**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.
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| Parameter | Type | Required | Description |
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|-----------|------|----------|-------------|
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| `containerTag` | string | No | Project tag to scope the profile (max 128 chars) |
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| `includeRecent` | boolean | No | Include recent activity in the profile. Default: `true` |
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**Output format:**
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- Includes instructions to save new memories using the `memory` tool
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- **Stable Preferences:** Long-term user facts and preferences
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- **Recent Activity:** Recent interactions and context (when `includeRecent` is `true`)
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- Fallback message when no profile exists yet
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**When to use:**
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- Use `context` prompt for automatic system context injection at conversation start
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- Use `recall` tool when you need to search for specific information
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- Use `profile` resource when you need raw profile data for custom processing
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<Card title="MCP Server Source Code" icon="github" href="https://github.com/supermemoryai/supermemory/tree/main/apps/mcp">
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View the open-source implementation
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</Card>
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