Mem0 MCP Server

@pinkpixel-dev

Basic information

About Mem0 MCP Server

✨ mem0 MCP Server: A memory system using mem0 for AI applications with model context protocl (MCP) integration. Enables long-term memory for AI agents as a drop-in MCP server.

#agent #database #storage #memory #mcp #assistant #persistent-memory #memory-management #llm #llm-memory #mem0#mem0ai#model-context-protocol #mcp-server #modelcontextprotocol #model-context-protocol-servers

Mem0 MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mem0-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@pinkpixel/mem0-mcp"
      ],
      "env": {
        "MEM0_API_KEY": "YOUR_MEM0_API_KEY_HERE",
        "DEFAULT_USER_ID": "user123"
      },
      "disabled": false,
      "alwaysAllow": [
        "add_memory",
        "search_memory"
      ]
    }
  }
}

Mem0 MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

What is Mem0 Mcp?

Mem0 Mcp is a Model Context Protocol (MCP) server that integrates with Mem0.ai to provide persistent memory capabilities for LLMs, allowing AI agents to store and retrieve information across sessions.

How to use Mem0 Mcp?

Install the package globally via npm (npm install -g @pinkpixel/mem0-mcp) or use npx. Set environment variables for your preferred storage mode (Cloud, Supabase, or Local). Configure your MCP client (e.g., Claude Desktop) with the appropriate JSON configuration. The server exposes tools like add_memory, search_memories, list_memories, update_memory, delete_memory, and more for managing memories.

Key features of Mem0 Mcp

Supports Cloud, Supabase, and Local storage modes
Over 15 memory management tools (add, search, list, update, delete, etc.)
Semantic and BM25 hybrid search with filters
Asynchronous cloud operations with event polling
Bulk operations for batch updates and deletions
Memory history and audit trail (cloud only)

Use cases of Mem0 Mcp

AI agents maintaining persistent memory across conversations
Session-based user memory for chatbots
Self-hosting memory with Supabase for data control
Development/testing with local in-memory storage
Bulk memory management for large-scale applications

Frequently asked questions

What storage modes does Mem0 Mcp support?

Three modes: Cloud (recommended for production, requires `MEM0_API_KEY`), Supabase (self-hosted, requires `SUPABASE_URL`, `SUPABASE_KEY`, and `OPENAI_API_KEY`), and Local (development/testing, requires `OPENAI_API_KEY`).

What are the runtime requirements for Mem0 Mcp?

Node.js 18+, TypeScript 5.3+, and the appropriate API keys for your chosen storage mode (Mem0 API key, OpenAI API key, or Supabase credentials).

How do I configure Mem0 Mcp in my MCP client?

Set environment variables in your client’s JSON configuration (e

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