
Overview
Key features
- Add memory
- Semantic search
- List memories
- Get memory
- Update memory
- Delete memory
Pricing
- Model
- Free
- Category
- MCP Servers
- Rating
- No reviews yet
Use cases
Health Information Management
Store and manage sensitive health information, such as allergies, using the mem0-mcp server.
Conversational AI
Use the mem0-mcp server to enable conversational AI models to remember and retrieve context-specific information.
Pros & Cons
Pros
- Enables powerful memory capabilities for AI applications
- Supports multiple deployment options (Python package, Docker, Smithery)
- Provides a range of tools for managing memories (add, search, update, delete)
Cons
- Repository is archived and no longer actively maintained
- Requires Mem0 API key for usage
Reviews
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Q&A
Do I need any credentials to use mem0-mcp, and how are they configured?
Yes, a Mem0 API key is required. Set the MEM0_API_KEY environment variable (and optionally MEM0_DEFAULT_USER_ID) in the server’s environment or in the MCP client configuration JSON.
Asked by Fiorella Bianchi · Jun 9, 2026
What deployment options are available for the mem0-mcp server?
You can run it locally as a Python package (via pip or uvx), deploy it in a Docker container that exposes an HTTP /mcp endpoint, or use the Smithery remote‑hosted service for managed deployments.
Asked by Nour Khalil · Jun 4, 2026
Is the mem0-mcp server still maintained, and what’s the recommended alternative?
The repository was archived on Mar 24 2026 and is no longer actively maintained. For a supported solution, use the official cloud‑hosted MCP server provided by Mem0, which is documented in the Mem0 docs.
Asked by Ximena Torres · Apr 7, 2026
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