MCP Mem0

v1.0.0Knowledge & Memorystable

A template implementation of the Model Context Protocol server that integrates with Mem0 to provide AI agents with persistent memory capabilities for storing, retrieving, and searching memories using semantic search.

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What is MCP Mem0?

MCP Mem0 is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to template implementation of the model context protocol server that integrates with mem0 to provide ai agents with persistent memory capabilities for storing, retrieving, and searching memories using se...

A template implementation of the Model Context Protocol server that integrates with Mem0 to provide AI agents with persistent memory capabilities for storing, retrieving, and searching memories using semantic search.

This server falls under the Knowledge & Memory category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • A template implementation of the Model Context Protocol serv

Use Cases

Provide AI agents with persistent memory using Mem0 integration. Store, retrieve, and search memories with semantic search capabilities. Build long-term context for AI applications.
coleam00

Maintainer

LicenseMIT License
Languagepython
Versionv1.0.0
UpdatedMay 15, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx mcp-mem0

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

How to Set Up and Use MCP Mem0

MCP Mem0 integrates Mem0's persistent memory capabilities with the Model Context Protocol, allowing Claude to store, retrieve, and search memories using semantic search. Connecting this enables your AI assistant to maintain long-term context across conversations, remember user preferences, build persistent knowledge about projects, and provide continuity in multi-turn workflows—turning temporary interactions into lasting AI relationships.

Prerequisites

  • Python 3.7+ installed
  • Node.js 14+ for running the MCP server
  • An MCP client such as Claude Desktop or Cursor
  • Mem0 API key (optional, for cloud-based persistence)
1

Install MCP Mem0

Use npx to install the MCP Mem0 server.

npx mcp-mem0
2

Configure Mem0 (optional cloud setup)

If using cloud-based Mem0, get an API key from mem0.com and configure it.

3

Add MCP Mem0 to your configuration

Edit your MCP client's configuration file to include the MCP Mem0 server.

{
  "mcpServers": {
    "mcp-mem0": {
      "command": "npx",
      "args": ["mcp-mem0"],
      "env": {
        "MEM0_API_KEY": "your-mem0-api-key"
      }
    }
  }
}
4

Restart your MCP client

After updating the configuration, restart Claude Desktop or Cursor to load the MCP Mem0 server.

5

Test memory storage and retrieval

Ask your AI assistant to remember something, then reference it in a later conversation to verify persistent memory works.

MCP Mem0 Examples

MCP Configuration

Add MCP Mem0 to your configuration.

{
  "mcpServers": {
    "mcp-mem0": {
      "command": "npx",
      "args": ["mcp-mem0"],
      "env": {
        "MEM0_API_KEY": "your-key-here"
      }
    }
  }
}

Prompts to try

Example prompts for using MCP Mem0 with Claude.

- Remember that I prefer concise technical explanations without marketing language
- Find memories about my current project and show what we've discussed so far
- Store this important project context for future reference

Troubleshooting MCP Mem0

Memories not persisting between conversations

Verify MCP Mem0 is properly configured and running. Check that the memory backend (local or cloud) is accessible. Ensure the MCP client maintains the connection between sessions.

Semantic search returning irrelevant memories

Check that memories are being stored with clear, descriptive context. Refine search queries to use more specific terminology. Verify Mem0 is properly embedding memories.

API key authentication fails

Verify your Mem0 API key is valid and active. Check that the key hasn't been revoked. Test the API key directly with Mem0's testing tools.

Frequently Asked Questions about MCP Mem0

What is MCP Mem0?

MCP Mem0 is a Model Context Protocol (MCP) server that template implementation of the model context protocol server that integrates with mem0 to provide ai agents with persistent memory capabilities for storing, retrieving, and searching memories using semantic search. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install MCP Mem0?

Follow the installation instructions on the MCP Mem0 GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with MCP Mem0?

MCP Mem0 works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is MCP Mem0 free to use?

Yes, MCP Mem0 is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.

Browse More Knowledge & Memory MCP Servers

Explore all knowledge & memory servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "mcp-mem0": { "command": "npx", "args": ["-y", "mcp-mem0"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

Ready to use MCP Mem0?

Browse our complete directory of 33,000+ MCP servers, read setup guides for your editor, and start building with the Model Context Protocol.

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