Supermemory

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Save and recall memories and documents across AI tools with a shared memory layer and user profile.

state.auth.long (state.auth.title)Streamable HTTP

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https://mcp.supermemory.ai/mcp

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mcp.tc/i/supermemory

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Supermemory is a memory and context layer for AI assistants. Through its MCP server, a compatible client can save facts and preferences, search stored memories, and load a user profile at the start of a conversation. Memories can be scoped to projects so work and personal context stay separate.

The server is hosted at https://mcp.supermemory.ai/mcp and uses streamable HTTP. Users sign in with OAuth and then choose which spaces the client may access. No local install is needed. Plugins for several coding assistants and a public API are also available.

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  • Save or forget information the user shares
  • Search stored memories by query
  • Return a user profile summary with recall results
  • Load profile and recent activity into a new conversation
  • Scope memories by project to separate work and personal context
  • Share memory across MCP-compatible assistants

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  • Remember that I prefer TypeScript with functional patterns.

  • What do you remember about my current projects?

  • Load my context before we start working.

  • Forget what I told you about my old project setup.

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Claude Code

  1. Run this in a terminal, in your project folder:
claude mcp add --transport http supermemory https://mcp.supermemory.ai/mcp
  1. Start Claude Code, type /mcp, pick supermemory and choose Authenticate. A browser window opens for the Supermemory sign-in.

Add --scope user to make it available in every project, not just this one.

Claude Desktop

  1. Open Settings → Connectors and click Add custom connector.
  2. Name it Supermemory and paste this URL:
https://mcp.supermemory.ai/mcp
  1. Click Add, then Connect, and sign in when Supermemory asks.

Claude Desktop's JSON config file only starts local servers. Remote servers go through Connectors, and connectors you add on claude.ai show up here too.

claude.ai

  1. Open the connector form on claude.ai. This button fills in the name and URL for you:
  1. Check that the URL reads https://mcp.supermemory.ai/mcp and click Add.
  2. Click Connect and sign in when Supermemory asks.

Free plans allow one custom connector. On Team and Enterprise plans an owner adds it under Organization settings → Connectors.

ChatGPT

  1. On chatgpt.com, open Settings → Security and login and turn on Developer mode.
  2. Go to chatgpt.com/plugins and click + to create an app for a remote MCP server.
  3. Paste https://mcp.supermemory.ai/mcp as the server URL and choose OAuth. ChatGPT sends you to Supermemory to sign in.

Developer mode is available on the web for Plus, Pro, Business, Enterprise and Education accounts.

Cursor

Or add it by hand to ~/.cursor/mcp.json (all projects) or .cursor/mcp.json (this project):

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

Cursor shows Needs login next to the server. Click it to sign in.

VS Code

Or from a terminal:

code --add-mcp '{"name":"supermemory","type":"http","url":"https://mcp.supermemory.ai/mcp"}'

Or commit it to the repo in .vscode/mcp.json:

.vscode/mcp.json
{
  "servers": {
    "supermemory": {
      "type": "http",
      "url": "https://mcp.supermemory.ai/mcp"
    }
  }
}

VS Code asks you to sign in the first time the server starts.

Devin Desktop

  1. Add it to ~/.config/devin/mcp_config.json (macOS and Linux) or %APPDATA%\devin\mcp_config.json (Windows):
mcp_config.json
{
  "mcpServers": {
    "supermemory": {
      "serverUrl": "https://mcp.supermemory.ai/mcp"
    }
  }
}
  1. Refresh the MCP server list in Cascade and sign in when asked.

Devin Desktop is the new name for Windsurf. It reads serverUrl (or url) for remote servers.

Codex

codex mcp add supermemory --url https://mcp.supermemory.ai/mcp
codex mcp login supermemory

Or edit ~/.codex/config.toml directly:

config.toml
[mcp_servers.supermemory]
url = "https://mcp.supermemory.ai/mcp"

Gemini CLI

gemini mcp add --transport http supermemory https://mcp.supermemory.ai/mcp

Then, inside Gemini CLI, run /mcp auth supermemory to sign in.

This adds it to the current project. Add -s user to use it everywhere.

Any client

Most clients accept this shape. Some name the URL field differently: serverUrl in Devin Desktop, httpUrl in Gemini CLI's settings file.

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

Zed puts servers under context_servers in its settings. Cline needs "type": "streamableHttp", or it assumes SSE.

Client only starts local servers? Bridge it with npx -y mcp-remote https://mcp.supermemory.ai/mcp.

listing.faq

Can I paste mcp.tc/i/supermemory into my MCP client?

No. mcp.tc links are pages, not server addresses. Connect with https://mcp.supermemory.ai/mcp, so your client talks to Supermemory directly. The sign-in token only works there anyway. The quick link is for sharing: it opens this page, with setup steps for every client.

Does Supermemory need an API key or a sign-in?

Yes, you need a Supermemory account. The first time your client connects, it opens Supermemory's sign-in page. The token goes straight to the server's own URL, never through mcp.tc.

Is Supermemory a remote or a local server?

Remote. Supermemory hosts it at https://mcp.supermemory.ai/mcp, and it speaks Streamable HTTP. There's nothing to install.

What can Supermemory do?

You can save or forget information the user shares, search stored memories by query and return a user profile summary with recall results.

Which clients can use it?

Any client that supports remote MCP servers: Claude Code, Claude Desktop, claude.ai, ChatGPT in developer mode, Cursor, VS Code, Devin Desktop, Codex, Gemini CLI, Zed and others. The setup steps cover each one.

Who wrote this page?

mcp.tc's robot read Supermemory's own metadata (its MCP handshake, tool list and public pages), and an AI model drafted the text from it. A person reviews anything the checks can't confirm. The text can still be wrong, so if you spot a mistake, use Report this listing on this page.

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