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Getting Started

Mem0 MCP

Welcome Mem0 Platform Open Source Cookbooks Integrations API Reference Release Notes

• Documentation

Getting Started

• Overview
• Vibecoding
• Mem0 MCP
• CLI
• Platform vs Open Source
• Quickstart

Core Concepts

• Memory Types
• Add Memory
• Search Memory
• Update Memory
• Delete Memory

Platform Features

• Overview

• Essential Features

• Advanced Features

• Data Management

• Integration Features

Support & Troubleshooting

• FAQs

Migration Guide

• Migrate from Open Source to Platform
• Migrating from v0.x to v1.0.0
• Breaking Changes in v1.0.0
• API Reference Changes

Contribute

• Contribution Hub

On this page

• What is Mem0 MCP?
• Quick Setup
• Available Tools
• Client-Specific Setup
• Verify Your Setup
• Quick Recovery
• Next Steps
• Additional Resources

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, 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:

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

---

​ Client-Specific Setup

You can also configure individual clients:

Claude Desktop

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):

{
  "mcpServers": {
    "mem0-mcp": {
      "type": "http",
      "url": "https://mcp.mem0.ai/mcp"
    }
  }
}

Claude Code

npx mcp-add \
  --name mem0-mcp \
  --type http \
  --url "https://mcp.mem0.ai/mcp" \
  --clients "claude code"

Cursor

npx mcp-add \
  --name mem0-mcp \
  --type http \
  --url "https://mcp.mem0.ai/mcp" \
  --clients "cursor"

Or go to Cursor → Settings → MCP and add:

{
  "mcpServers": {
    "mem0-mcp": {
      "type": "http",
      "url": "https://mcp.mem0.ai/mcp"
    }
  }
}

Windsurf

npx mcp-add \
  --name mem0-mcp \
  --type http \
  --url "https://mcp.mem0.ai/mcp" \
  --clients "windsurf"

VS Code

npx mcp-add \
  --name mem0-mcp \
  --type http \
  --url "https://mcp.mem0.ai/mcp" \
  --clients "vscode"

OpenCode

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

---

​ Next Steps

MCP Integration Feature

Gemini 3 with Mem0 MCP

​ Additional Resources

• Platform Quickstart - Direct API integration guide
• MCP Specification - Learn about MCP protocol

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