Supermemory

Name: Supermemory
Author: supermemoryai

install-mcp · by supermemoryai

Memory engine and app that is extremely fast, scalable. The Memory API for the AI era.

29.0k 566/wk GitHub npm PyPI

No known CVEs

MIT license

Actively maintained

Last commit 0d ago

Works with most clients

Transport: stdio, sse, http

0 tools

Grade F

MCPpedia last refreshed this data 6h ago

This server has been archived and is no longer actively maintained.

Edit this pageView history

Supermemory is an MCP server that memory engine and app that is extremely fast, scalable. The Memory API for the AI era. Its tool list has not been published yet over stdio, sse and http, requires no API key, and scores 51/100 on MCPpedia's security, maintenance and efficiency rubric.

AI / ML

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, sse, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "supermemory": {
      "url": "https://mcp.supermemory.ai/mcp"
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/supermemory)](https://mcppedia.org/s/supermemory)

Read me

What Supermemory does

Supermemory is the memory and context layer for AI. #1 on LongMemEval, LoCoMo, and ConvoMem — the three major benchmarks for AI memory.

Test This Server

This server supports HTTP transport. Be the first to test it — help the community know if it works.

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

51/100across 5 weighted dimensions

How we score →

0255075100

−49

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked install-mcp against OSV.dev.

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is Supermemory safe to use?: Supermemory has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments. Licensed under MIT.
How do I install Supermemory?: Supermemory supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What AI clients work with Supermemory?: Supermemory is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.
Is Supermemory actively maintained?: Supermemory is actively maintained — last commit was 0 days ago. It has 29,028 GitHub stars.

Similar servers

Others in ai-ml

View all →

Dsh MCP Client97

MCP client bridge: connects to MCP servers and registers their tools on ctx.tools

190.4k 4

Gpt Researcher97

An autonomous agent that conducts deep research on any data using any LLM providers

29.1k 5

io.github.mims-harvard/tooluniverse96

1000+ scientific tools for AI scientists: life science, reserach, literature, and more.

1.7k 4

Antigravity Workspace Template96

Workspace template + MCP server for Claude Code, Codex CLI, Cursor & Windsurf. Multi-agent knowledge engine (ag-refresh / ag-ask) that turns any codebase into a queryable AI assistant.

1.3k 2

MCP Security Weekly

Get CVE alerts and security updates for Supermemory and similar servers.

Community

Discussion

Start a conversation

Ask a question, share a tip, or report an issue.

Has anyone used this with Cursor?How do you handle auth?Any alternatives?


🧠 Memory	Extracts facts from conversations. Handles temporal changes, contradictions, and automatic forgetting.
👤 User Profiles	Auto-maintained user context — stable facts + recent activity. One call, ~50ms.
🔍 Hybrid Search	RAG + Memory in a single query. Knowledge base docs and personalized context together.
🔌 Connectors	Google Drive · Gmail · Notion · OneDrive · GitHub — auto-sync with real-time webhooks.
📄 Multi-modal Extractors	PDFs, images (OCR), videos (transcription), code (AST-aware chunking). Upload and it works.

🧠 Memory

Extracts facts from conversations. Handles temporal changes, contradictions, and automatic forgetting.

👤 User Profiles

Auto-maintained user context — stable facts + recent activity. One call, ~50ms.

🔍 Hybrid Search

RAG + Memory in a single query. Knowledge base docs and personalized context together.

🔌 Connectors

Google Drive · Gmail · Notion · OneDrive · GitHub — auto-sync with real-time webhooks.

📄 Multi-modal Extractors

PDFs, images (OCR), videos (transcription), code (AST-aware chunking). Upload and it works.

Use Supermemory

🧑‍💻 I use AI tools

Build your own personal supermemory by using our app. Builds persistent memory graph across every conversation.

Your AI remembers your preferences, projects, past discussions — and gets smarter over time.

→ Jump to User setup

🔧 I'm building AI products

Add memory, RAG, user profiles, and connectors to your agents and apps with a single API.

No vector DB config. No embedding pipelines. No chunking strategies.

→ Jump to developer quickstart

Frequently Asked Questions

Is Supermemory safe to use?

Supermemory has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments. Licensed under MIT.

How do I install Supermemory?

Supermemory supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.

What AI clients work with Supermemory?

Supermemory is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.

Is Supermemory actively maintained?

Supermemory is actively maintained — last commit was 0 days ago. It has 29,028 GitHub stars.


🧠 Memory	Extracts facts from conversations. Handles temporal changes, contradictions, and automatic forgetting.
👤 User Profiles	Auto-maintained user context — stable facts + recent activity. One call, ~50ms.
🔍 Hybrid Search	RAG + Memory in a single query. Knowledge base docs and personalized context together.
🔌 Connectors	Google Drive · Gmail · Notion · OneDrive · GitHub — auto-sync with real-time webhooks.
📄 Multi-modal Extractors	PDFs, images (OCR), videos (transcription), code (AST-aware chunking). Upload and it works.

🧠 Memory

Extracts facts from conversations. Handles temporal changes, contradictions, and automatic forgetting.

👤 User Profiles

Auto-maintained user context — stable facts + recent activity. One call, ~50ms.

🔍 Hybrid Search

RAG + Memory in a single query. Knowledge base docs and personalized context together.

🔌 Connectors

Google Drive · Gmail · Notion · OneDrive · GitHub — auto-sync with real-time webhooks.

📄 Multi-modal Extractors

PDFs, images (OCR), videos (transcription), code (AST-aware chunking). Upload and it works.

Use Supermemory

🧑‍💻 I use AI tools

Build your own personal supermemory by using our app. Builds persistent memory graph across every conversation.

Your AI remembers your preferences, projects, past discussions — and gets smarter over time.

→ Jump to User setup

🔧 I'm building AI products

Add memory, RAG, user profiles, and connectors to your agents and apps with a single API.

No vector DB config. No embedding pipelines. No chunking strategies.

→ Jump to developer quickstart