MODEL CONTEXT PROTOCOL

One memory. Every AI tool.

Connect Supermemory to Claude, Cursor, VS Code, Windsurf, and any MCP-compatible client. Your context follows you everywhere — no configuration per tool.

Full MCP documentation →
Works with
ChatGPT ChatGPT
Codex Codex
Claude Desktop Claude Desktop
Claude Code Claude Code
Cursor Cursor
VS Code VS Code
Cline Cline
Gemini CLI Gemini CLI
Windsurf Windsurf
Any MCP Any MCP
ChatGPT ChatGPT
Codex Codex
Claude Desktop Claude Desktop
Claude Code Claude Code
Cursor Cursor
VS Code VS Code
Cline Cline
Gemini CLI Gemini CLI
Windsurf Windsurf
Any MCP Any MCP

THE PROBLEM

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Every AI conversation starts from zero

Your AI tools don't talk to each other. Every session is a blank slate — no matter how many times you've explained the same thing.

Context amnesia

Switch from Cursor to Claude Code? Start over. Every tool forgets what the others learned.

Repeated explanations

You explain your codebase, preferences, and patterns to every new AI session. Every. Single. Time.

Scattered knowledge

Your best insights are trapped in 50 different chat windows across 5 different tools.

WHAT IS MCP

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The universal protocol for AI context

Model Context Protocol (MCP) is an open standard that lets AI tools connect to external data sources. Supermemory's MCP server gives every compatible client instant access to your full memory — search, save, and recall context from anywhere.

Learn more about MCP →
Supermemory MCP Server connected to Claude, Cursor, VS Code, Windsurf, OpenClaw, and Open Code

HOW IT WORKS

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One command. Infinite context.

1 Install
npx -y mcp-remote@latest https://mcp.supermemory.ai/mcp

One command installs and configures the MCP server with OAuth.

Setup guide →
2 Authenticate
OAuth flow

OAuth flow opens in your browser. No API keys to manage.

Authentication docs →
3 Use
Connected

Every MCP-compatible tool now has access to your full memory.

API reference →

CAPABILITIES

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Everything your AI needs to remember

Find anything instantly

"What was that API pattern we used last week?" — your AI finds it in seconds, across every conversation you've ever had.

Search API docs →

Knowledge that grows with you

Every decision, preference, and pattern your AI learns gets saved automatically. Your context compounds over time.

SDK documentation →

AI that actually knows you

Your coding style, your project conventions, your preferences — remembered across every session, not just the current one.

Memory types →

One memory, everywhere

Record something in Claude, recall it in Cursor. Your context follows you across every tool — no sync, no export, no copy-paste.

Full MCP documentation →

BEFORE & AFTER

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Questions you'll stop asking

What was that API endpoint I used last week?
What's our auth pattern again?
Didn't I already explain our database schema to Claude?
Where's that code snippet from my Cursor session?
What did we decide about the caching strategy?
How did I set up that CI pipeline last time?
What's the naming convention for this project?
Where's the error handling pattern I wrote in VS Code?
What was that API endpoint I used last week?
What's our auth pattern again?
Didn't I already explain our database schema to Claude?
Where's that code snippet from my Cursor session?
What did we decide about the caching strategy?
How did I set up that CI pipeline last time?
What's the naming convention for this project?
Where's the error handling pattern I wrote in VS Code?
Can you remind me what my preferences are for this repo?
What was the deployment process we figured out?
How did we handle rate limiting in the other service?
What's the testing strategy we agreed on?
Where's that regex pattern I wrote for parsing logs?
What did Cursor suggest for the refactor last week?
What's our team's convention for error codes?
Didn't I already solve this exact bug before?
Can you remind me what my preferences are for this repo?
What was the deployment process we figured out?
How did we handle rate limiting in the other service?
What's the testing strategy we agreed on?
Where's that regex pattern I wrote for parsing logs?
What did Cursor suggest for the refactor last week?
What's our team's convention for error codes?
Didn't I already solve this exact bug before?

FOR YOU

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Whether it's just you, or your whole team.

Same memory. Built for one. Scales for everyone.

For individuals

Your personal context layer

Use Claude every day? Your notes, your preferences, your patterns — all in one place, readable by every AI tool you use. Free to start.

Get started →
For teams

Shared memory for your stack

Every decision tagged with the conversation it came from. New team members onboard faster. No more "didn't we already decide this?"

Talk to founders →

GET STARTED

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Your AI should remember everything

Free to use. No API key required.