Mem0 Mcp
@pinkpixel-dev
About Mem0 Mcp
✨ 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.
Basic information
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"
]
}
}
}Tools
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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
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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