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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)

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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.

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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.

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Available Tools

The MCP server exposes these memory tools to your AI client:
ToolDescription
add_memorySave text or conversation history for a user/agent
search_memoriesSemantic search across existing memories with filters
get_memoriesList memories with structured filters and pagination
get_memoryRetrieve one memory by its memory_id
update_memoryOverwrite a memory’s text after confirming the ID
delete_memoryDelete a single memory by memory_id
delete_all_memoriesBulk delete all memories in scope
delete_entitiesDelete a user/agent/app/run entity and its memories
list_entitiesEnumerate users/agents/apps/runs stored in Mem0

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Client-Specific Setup

You can also configure individual clients: 
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"
    }
  }
}

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

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"
    }
  }
}

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

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

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

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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.

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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

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Next Steps

MCP Integration Feature

Gemini 3 with Mem0 MCP

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Additional Resources