MCP Server with Mem0 for managing coding preferences via SSE endpoint (Cursor-compatible).
https://github.com/mem0ai/mem0-mcpStop rewriting the same code patterns every time you start a new project. This MCP server gives Cursor (and other MCP-compatible editors) persistent memory for your coding preferences, implementation patterns, and project setups.
You've built the same authentication flow five times. You keep forgetting which TypeScript config works best for your React projects. That perfect error handling pattern you wrote last month? Lost in some other repo. You end up either rebuilding solutions from scratch or frantically searching through old projects to find that one snippet that actually worked.
The Mem0 MCP server stores your coding preferences with full context - not just code snippets, but complete implementations with dependencies, setup instructions, and usage examples. When you need that authentication pattern again, semantic search finds it instantly along with all the context you need to implement it correctly.
Three core tools handle everything:
add_coding_preference - Store complete implementations with all their contextsearch_coding_preferences - Find relevant patterns using semantic searchget_all_coding_preferences - Review everything you've storedStop rebuilding the same solutions. Store your go-to patterns for authentication, database connections, API integrations, and deployment configs. Next time you need them, they're a search away with full implementation details.
Context that actually helps. Unlike basic snippet managers, this stores complete context: dependencies, versions, setup steps, example usage, and best practices. You get working code, not just fragments.
Works across projects. Your preferences persist across different codebases and sessions. Start a new React project and immediately access your preferred folder structure, ESLint config, and component patterns.
Semantic search that understands code. Don't remember exact keywords? Search for "async error handling" or "React form validation" and find relevant implementations even if you used different terminology when storing them.
The SSE endpoint integrates directly with Cursor's Agent mode. Your stored preferences become part of the AI's context automatically. Ask for "my usual React setup" and it knows exactly what you mean - complete with your preferred dependencies, folder structure, and configuration files.
# Point Cursor to your running server
http://0.0.0.0:8080/sse
The server runs independently of your editor. Start it once, connect multiple editors, disconnect and reconnect as needed. Perfect for distributed development environments or when switching between different machines and editors.
Run it locally for personal use or deploy it for team-wide shared preferences. The SSE-based design handles multiple concurrent connections gracefully.
git clone https://github.com/mem0ai/mem0-mcp.git
cd mem0-mcp
uv venv && source .venv/bin/activate
uv pip install -e .
Add your Mem0 API key to .env, start the server, and connect Cursor to the SSE endpoint. Your first stored preference is immediately searchable across all your projects.
This isn't about storing more code - it's about making your existing knowledge instantly accessible when you need it. Stop rebuilding what you've already built perfectly.