--- title: "Mem0 MCP" description: "Connect any AI client to Mem0 using Model Context Protocol in minutes" icon: "puzzle-piece" estimatedTime: "~2 minutes" --- **Prerequisites** - Mem0 Platform account (Sign up here) - API key (Get one from dashboard) - Node.js 14+ (for npx) - An MCP-compatible client (Claude, Claude Code, Codex, Cursor, Windsurf, VS Code, OpenCode) ## 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 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: ```bash 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 { "mcpServers": { "mem0-mcp": { "type": "http", "url": "https://mcp.mem0.ai/mcp" } } } ``` ```bash npx mcp-add \ --name mem0-mcp \ --type http \ --url "https://mcp.mem0.ai/mcp" \ --clients "claude code" ``` **Direct MCP (fastest, MCP only).** Codex reads MCP servers from `~/.codex/config.toml` as TOML (not JSON). Add: ```toml [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. 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. **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 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`). ```bash 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 { "mcpServers": { "mem0-mcp": { "type": "http", "url": "https://mcp.mem0.ai/mcp" } } } ``` ```bash npx mcp-add \ --name mem0-mcp \ --type http \ --url "https://mcp.mem0.ai/mcp" \ --clients "windsurf" ``` ```bash npx mcp-add \ --name mem0-mcp \ --type http \ --url "https://mcp.mem0.ai/mcp" \ --clients "vscode" ``` ```bash npx mcp-add \ --name mem0-mcp \ --type http \ --url "https://mcp.mem0.ai/mcp" \ --clients "opencode" ``` --- ## 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. ``` If you get "Connection failed", ensure you have a valid API key from Mem0 Dashboard. --- ## Quick Recovery - **"Connection refused"** → Check your internet connection and ensure the MCP client is correctly configured - **"Invalid API key"** → Get a new key from Mem0 Dashboard - **"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