> ## Documentation Index
> Fetch the complete documentation index at: https://docs.mem0.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Mem0 MCP

> Connect any AI client to Mem0 using Model Context Protocol in minutes

<Info>
  **Prerequisites**

  * Mem0 Platform account (<a href="https://app.mem0.ai?utm_source=oss&utm_medium=platform-mem0-mcp" rel="nofollow">Sign up here</a>)
  * API key (<a href="https://app.mem0.ai/settings/api-keys?utm_source=oss&utm_medium=platform-mem0-mcp" rel="nofollow">Get one from dashboard</a>)
  * Node.js 14+ (for npx)
  * An MCP-compatible client (Claude, Claude Code, Codex, Cursor, Windsurf, VS Code, OpenCode)
</Info>

## What is Mem0 MCP?

Mem0 MCP Server exposes Mem0's memory capabilities as MCP tools, letting AI agents decide when to save, search, or update information. The cloud-hosted MCP server requires no local installation: just connect and start using memory.

## Quick Setup

Add Mem0 MCP to your preferred clients with a single command:

```bash theme={null}
npx mcp-add \
  --name mem0-mcp \
  --type http \
  --url "https://mcp.mem0.ai/mcp" \
  --clients "claude,claude code,cursor,windsurf,vscode,opencode"
```

This automatically configures Mem0 MCP for all supported clients at once.

## Available Tools

The MCP server exposes these memory tools to your AI client:

| Tool                  | Description                                                 |
| --------------------- | ----------------------------------------------------------- |
| `add_memory`          | Save text or conversation history for a user/agent          |
| `search_memories`     | Semantic search across existing memories with filters       |
| `get_memories`        | List memories with structured filters and pagination        |
| `get_memory`          | Retrieve one memory by its `memory_id`                      |
| `update_memory`       | Overwrite a memory's text after confirming the ID           |
| `delete_memory`       | Delete a single memory by `memory_id`                       |
| `delete_all_memories` | Bulk delete all memories in scope                           |
| `delete_entities`     | Delete a user/agent/app/run entity and its memories         |
| `list_entities`       | Enumerate users/agents/apps/runs stored in Mem0             |
| `list_events`         | List memory operation events with filters and pagination    |
| `get_event_status`    | Check the status of an async memory operation by `event_id` |

***

## Client-Specific Setup

You can also configure individual clients:

<AccordionGroup>
  <Accordion title="Claude Desktop">
    ```bash theme={null}
    npx mcp-add \
      --name mem0-mcp \
      --type http \
      --url "https://mcp.mem0.ai/mcp" \
      --clients "claude"
    ```

    Or manually add to your Claude Desktop configuration (`claude_desktop_config.json`):

    ```json theme={null}
    {
      "mcpServers": {
        "mem0-mcp": {
          "type": "http",
          "url": "https://mcp.mem0.ai/mcp"
        }
      }
    }
    ```
  </Accordion>

  <Accordion title="Claude Code">
    ```bash theme={null}
    npx mcp-add \
      --name mem0-mcp \
      --type http \
      --url "https://mcp.mem0.ai/mcp" \
      --clients "claude code"
    ```
  </Accordion>

  <Accordion title="Codex">
    **Direct MCP (fastest, MCP only).** Codex reads MCP servers from `~/.codex/config.toml` as TOML (not JSON). Add:

    ```toml theme={null}
    [mcp_servers.mem0]
    url = "https://mcp.mem0.ai/mcp"
    bearer_token_env_var = "MEM0_API_KEY"
    ```

    Export `MEM0_API_KEY` in the shell you launch Codex from, then restart Codex. `codex mcp add` only supports stdio servers, so HTTP servers must be added via `config.toml` directly, or via the **Plugins → Connect to a custom MCP → Streamable HTTP** UI in the Codex app.

    <Note>
      Codex uses the server name `mem0` (not `mem0-mcp` like the other clients on this page) so it matches the name the bundled plugin registers if you ever sideload it later.
    </Note>

    **Sideloaded plugin (full experience).** If you want the memory protocol skill, Mem0 SDK skill, and opt-in lifecycle hooks alongside the MCP server, sideload the plugin from a clone of `mem0ai/mem0`. The repo ships a marketplace manifest at `.agents/plugins/marketplace.json`, so you can register it with one CLI call:

    ```bash theme={null}
    git clone https://github.com/mem0ai/mem0.git ~/codex-plugins/mem0-source
    codex plugin marketplace add ~/codex-plugins/mem0-source
    ```

    Then run `codex` and `/plugins`, browse the **Mem0 Plugins** marketplace, and install **Mem0**. Don't combine this with the Direct MCP setup above; the sideloaded plugin auto-registers `mem0` via `.codex-mcp.json`, so a manual `[mcp_servers.mem0]` block would create a duplicate.

    See the [Codex integration guide](/integrations/codex) for full details, lifecycle-hook setup, and management commands (`codex plugin marketplace upgrade` / `remove`).
  </Accordion>

  <Accordion title="Cursor">
    ```bash theme={null}
    npx mcp-add \
      --name mem0-mcp \
      --type http \
      --url "https://mcp.mem0.ai/mcp" \
      --clients "cursor"
    ```

    Or go to Cursor → Settings → MCP and add:

    ```json theme={null}
    {
      "mcpServers": {
        "mem0-mcp": {
          "type": "http",
          "url": "https://mcp.mem0.ai/mcp"
        }
      }
    }
    ```
  </Accordion>

  <Accordion title="Windsurf">
    ```bash theme={null}
    npx mcp-add \
      --name mem0-mcp \
      --type http \
      --url "https://mcp.mem0.ai/mcp" \
      --clients "windsurf"
    ```
  </Accordion>

  <Accordion title="VS Code">
    ```bash theme={null}
    npx mcp-add \
      --name mem0-mcp \
      --type http \
      --url "https://mcp.mem0.ai/mcp" \
      --clients "vscode"
    ```
  </Accordion>

  <Accordion title="OpenCode">
    ```bash theme={null}
    npx mcp-add \
      --name mem0-mcp \
      --type http \
      --url "https://mcp.mem0.ai/mcp" \
      --clients "opencode"
    ```
  </Accordion>
</AccordionGroup>

***

## Verify Your Setup

Once configured, your AI client can:

* Automatically save information with `add_memory`
* Search memories with `search_memories`
* Update memories with `update_memory`
* Delete memories with `delete_memory`

**Sample Interactions:**

```
User: Remember that I love tiramisu
Agent: Got it! I've saved that you love tiramisu.

User: What do you know about my food preferences?
Agent: Based on your memories, you love tiramisu.

User: Update my project: the mobile app is now 80% complete
Agent: Updated your project status successfully.
```

<Info icon="check">
  If you get "Connection failed", ensure you have a valid API key from <a href="https://app.mem0.ai/settings/api-keys?utm_source=oss&utm_medium=platform-mem0-mcp" rel="nofollow">Mem0 Dashboard</a>.
</Info>

***

## Quick Recovery

* **"Connection refused"** → Check your internet connection and ensure the MCP client is correctly configured
* **"Invalid API key"** → Get a new key from <a href="https://app.mem0.ai/settings/api-keys?utm_source=oss&utm_medium=platform-mem0-mcp" rel="nofollow">Mem0 Dashboard</a>
* **"npx command not found"** → Install Node.js from [nodejs.org](https://nodejs.org)

***

## Next steps

* [Platform Quickstart](/platform/quickstart) - direct SDK/API integration guide
* [MCP Specification](https://modelcontextprotocol.io) - the Model Context Protocol standard
* [Gemini with Mem0 MCP](/cookbooks/frameworks/gemini-3-with-mem0-mcp) - example integration cookbook