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Mem0 Mcp

@pinkpixel-dev

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Mem0 Mcp について

✨ 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

基本情報

カテゴリ

その他

ライセンス

MIT

ランタイム

node

トランスポート

stdio

公開者

pinkpixel-dev

投稿者

Pink Pixel

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "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"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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

FAQ from Mem0 Mcp

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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