Mem0 Memory MCP Server

Mem0 Memory MCP Server

Enables memory storage and retrieval using Mem0, allowing users to store context-specific memories and search through them with relevance scoring.

Category
访问服务器

README

Mem0 Memory MCP Server

A Model Context Protocol (MCP) server that provides memory storage and retrieval capabilities using Mem0. This tool allows you to store and search through memories, making it useful for maintaining context and making informed decisions based on past interactions.

Features

  • Store memories with user-specific context
  • Search through stored memories with relevance scoring
  • Simple and intuitive API
  • Built on the Model Context Protocol
  • Automatic error handling
  • Support for multiple user contexts

Usage

This server now supports StreamableHTTP via Smithery CLI while retaining optional STDIO compatibility.

StreamableHTTP (recommended)

  • Development (opens Smithery Playground and exposes HTTP transport):
npm run dev
  • Build for HTTP/StreamableHTTP (Smithery):
npm run build
  • Start the HTTP server locally (Smithery-built entrypoint):
npm run start:http

You can configure the server using Smithery’s generated form in the playground or by setting environment variables (e.g., MEM0_API_KEY).

STDIO (backward compatible)

Run the server over STDIO (useful for local clients that only support STDIO):

env MEM0_API_KEY=your-api-key-here npm run build:stdio && npm run start:stdio

Configuration for AI Tools

Running on Cursor (STDIO)

Configuring Cursor 🖥️

To configure Mem0 MCP in Cursor:

  1. Open Cursor Settings
  2. Go to Features > MCP Servers
  3. Click "+ Add New MCP Server"
  4. Enter the following:
    • Name: "mem0-mcp" (or your preferred name)
    • Type: "command"
    • Command: env MEM0_API_KEY=your-api-key-here npx -y @mem0/mcp (or use start:stdio from this repo)

To configure Mem0 MCP using JSON configuration:

{
  "mcpServers": {
    "mem0-mcp": {
      "command": "npx",
      "args": ["-y", "@mem0/mcp"],
      "env": {
        "MEM0_API_KEY": "YOUR-API-KEY-HERE"
      }
    }
  }
}

Running on VS Code (STDIO)

Add the following JSON block to your User Settings (JSON) file in VS Code:

{
  "mcp": {
    "inputs": [
      {
        "type": "promptString",
        "id": "apiKey",
        "description": "Mem0 API Key",
        "password": true
      }
    ],
    "servers": {
      "mem0-memory": {
        "command": "npx",
        "args": ["-y", "@mem0/mcp"],
        "env": {
          "MEM0_API_KEY": "${input:apiKey}"
        }
      }
    }
  }
}

Available Tools

1. Add Memory Tool (add-memory)

Store new memories with user-specific context.

{
  "name": "add-memory",
  "arguments": {
    "content": "User prefers dark mode interface",
    "userId": "user123"
  }
}

2. Search Memories Tool (search-memories)

Search through stored memories to retrieve relevant information.

{
  "name": "search-memories",
  "arguments": {
    "query": "What are the user's interface preferences?",
    "userId": "user123"
  }
}

Response Format

Add Memory Response

{
  "content": [
    {
      "type": "text",
      "text": "Memory added successfully"
    }
  ],
  "isError": false
}

Search Memory Response

{
  "content": [
    {
      "type": "text",
      "text": "Memory: User prefers dark mode interface\nRelevance: 0.95\n---\nMemory: User mentioned liking minimal UI\nRelevance: 0.82\n---"
    }
  ],
  "isError": false
}

Configuration

Environment Variables

  • MEM0_API_KEY: Your Mem0 API key (required)

Development

Prerequisites

  • Node.js >= 18
  • A Mem0 API key

Setup

  1. Install dependencies:
npm install
  1. Optionally create a .env file in the project directory and add your Mem0 API key:
MEM0_API_KEY=your-api-key-here
DEFAULT_USER_ID=mem0-mcp-user

HTTP/StreamableHTTP Dev

npm run dev

STDIO Dev

npm run build:stdio
npm run start:stdio

Error Handling

The server includes error handling for:

  • API connection issues
  • Invalid memory operations
  • Search errors
  • Authentication failures

Example error response:

{
  "content": [
    {
      "type": "text",
      "text": "Error: Failed to search memories: Invalid API key"
    }
  ],
  "isError": true
}

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

MIT

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选