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Mem0 MCP Server

@pinkpixel-dev

代码仓库主页

基本信息

分类

其他

许可证

MIT

传输方式

stdio

作者

pinkpixel-dev

提交者

Pink Pixel

关于 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 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "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 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

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

常见问题

1

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`).

2

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).

3

How do I configure Mem0 Mcp in my MCP client?

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

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