mem0ai/mem0-mcp

Overview

A Model Context Protocol server for Mem0 that manages coding preferences and patterns. It provides tools for storing, retrieving, and semantically handling code implementations.

Best for

Best for
Developers building MCP-based tools that need persistent, semantic memory for coding preferences

Use cases

• Store and recall personal coding preferences across sessions
• Retrieve relevant code patterns based on semantic similarity
• Integrate persistent memory into MCP-compatible AI assistants

How to use

Install

uv pip install mem0-mcp-server

Tools exposed

• add_memory
• search_memories
• get_memories
• get_memory
• update_memory
• delete_memory
• delete_all_memories
• delete_entities
• list_entities

Tested with

Claude Desktop, Claude Code, Cursor, Windsurf, VS Code, ChatGPT

Notes

A Model Context Protocol server for Mem0 that manages coding preferences and patterns. It provides tools for storing, retrieving, and semantically handling code implementations.

655 stars on GitHub. Last updated 2026-03-24. Licensed Apache-2.0.

Use cases

• Store and recall personal coding preferences across sessions
• Retrieve relevant code patterns based on semantic similarity
• Integrate persistent memory into MCP-compatible AI assistants

Pros

• Open source and written in Python, easy to extend
• Leverages semantic search for context-aware code retrieval
• Works within the Model Context Protocol ecosystem

Cons

• Requires a running Mem0 instance, adding infrastructure overhead
• Limited community size (655 stars) may mean fewer examples or support
• Python-only implementation may not suit non-Python MCP hosts

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.