A Model Context Protocol server that can store and retrieve memories for LLM context control
A Model Context Protocol server that can store and retrieve memories for LLM context control
A Model Context Protocol (MCP) server that integrates with Mem0.ai to provide persistent memory capabilities for LLMs. It allows AI agents to store and retrieve information across sessions.
This server supports three storage modes: 1. Cloud Storage Mode ☁️ (Recommended for production) * Requires a Mem0 API key (provided as MEM0_API_KEY environment variable) * Memories are persistently stored on Mem0's cloud servers * No local database needed * Full feature support with advanced filtering and search 2. Supabase Storage Mode 🗄️ (Recommended for self-hosting) * Requires
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{
"mcpServers": {
"mem0-mcp": {
"command": "mem0-mcp",
"args": [],
"env": {
"MEM0_API_KEY": "YOUR_MEM0_API_KEY",
"DEFAULT_USER_ID": "user123",
"DEFAULT_AGENT_ID": "your-agent-id",
"DEFAULT_APP_ID": "your-app-id"
}
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
This server supports three storage modes: 1. Cloud Storage Mode ☁️ (Recommended for production) * Requires a Mem0 API key (provided as MEM0_API_KEY environment variable) * Memories are persistently stored on Mem0's cloud servers * No local database needed * Full feature support with advanced filtering and search 2. Supabase Storage Mode 🗄️ (Recommended for self-hosting) * Requires
| Variable | Description | Required |
|---|---|---|
| MEM0_API_KEY | Declared in the maintainer’s client configuration. | Check documentation |
| DEFAULT_USER_ID | Declared in the maintainer’s client configuration. | Check documentation |
| DEFAULT_AGENT_ID | Declared in the maintainer’s client configuration. | Check documentation |
| DEFAULT_APP_ID | Declared in the maintainer’s client configuration. | Check documentation |
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