Mnemoverse Memory

listing.by

Store and recall long-term memory across Claude, Cursor, VS Code and ChatGPT, with outcome-based re-ranking and shared rooms.

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

listing.connect

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https://mcp.mnemoverse.com/mcp

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listing.share.h

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mcp.tc/i/mnemoverse-memory

listing.about

Mnemoverse Memory connects an assistant to a hosted memory engine. You can write preferences, decisions and lessons, search them later in natural language, and report whether a recalled memory helped or misled so its ranking changes. Shared rooms let several people or agents read and write one memory pool.

The hosted endpoint uses streamable HTTP with OAuth sign-in. A local npm package, @mnemoverse/mcp-memory-server, runs through npx and reads a Mnemoverse API key instead. A free account is available at the Mnemoverse console. The server code is MIT licensed; the memory engine itself is a hosted service.

listing.can

  • Write durable memories that persist across sessions and tools
  • Search memory by natural-language query or list newest entries
  • Send helpful or wrong feedback to re-rank recalled memories
  • Create shared rooms and invite others with invite codes
  • Join rooms and read or write shared memory
  • Inspect association graph and memory stats
  • List stored vault secret aliases without exposing values

listing.tools 11

  • memory_create_room

    Create a shared memory room other people's assistants can read and write.

  • memory_feedback

    Mark recalled memories as helpful or wrong to adjust their future ranking.

  • memory_graph

    Read association edges around concepts in your memory or a shared room.

  • memory_invite_to_room

    Mint an invite code and message for a room you own.

  • memory_join_room

    Join a shared room using an mnvr_ invite code.

  • memory_list_recent

    List newest memories first, with a since filter and paging cursor.

  • memory_list_rooms

    List shared rooms you own or have joined, with their addresses.

  • memory_read

    Search long-term memory for preferences, decisions and earlier context.

  • memory_stats

    Show memory count, concept associations, domains and quality scores.

  • memory_write

    Store a durable long-term memory that persists across sessions and tools.

  • vault_list

    List stored secret aliases and purposes; values are never returned.

listing.prov.mcpb_on

listing.prompts

  • Remember that I prefer TypeScript with strict mode for new projects.

  • What did we decide about the database schema last week?

  • Create a shared room for me and my teammate and give me an invite.

  • Join the room with code mnvr_EXAMPLE and show what's new.

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Claude Code

  1. Run this in a terminal, in your project folder:
claude mcp add --transport http mnemoverse-memory https://mcp.mnemoverse.com/mcp
  1. Start Claude Code, type /mcp, pick mnemoverse-memory and choose Authenticate. A browser window opens for the Mnemoverse 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 Mnemoverse Memory and paste this URL:
https://mcp.mnemoverse.com/mcp
  1. Click Add, then Connect, and sign in when Mnemoverse 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.mnemoverse.com/mcp and click Add.
  2. Click Connect and sign in when Mnemoverse 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.mnemoverse.com/mcp as the server URL and choose OAuth. ChatGPT sends you to Mnemoverse 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": {
    "mnemoverse-memory": {
      "url": "https://mcp.mnemoverse.com/mcp"
    }
  }
}

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

VS Code

Or from a terminal:

code --add-mcp '{"name":"mnemoverse-memory","type":"http","url":"https://mcp.mnemoverse.com/mcp"}'

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

.vscode/mcp.json
{
  "servers": {
    "mnemoverse-memory": {
      "type": "http",
      "url": "https://mcp.mnemoverse.com/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": {
    "mnemoverse-memory": {
      "serverUrl": "https://mcp.mnemoverse.com/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 mnemoverse-memory --url https://mcp.mnemoverse.com/mcp
codex mcp login mnemoverse-memory

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

config.toml
[mcp_servers.mnemoverse-memory]
url = "https://mcp.mnemoverse.com/mcp"

Gemini CLI

gemini mcp add --transport http mnemoverse-memory https://mcp.mnemoverse.com/mcp

Then, inside Gemini CLI, run /mcp auth mnemoverse-memory 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": {
    "mnemoverse-memory": {
      "type": "http",
      "url": "https://mcp.mnemoverse.com/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.mnemoverse.com/mcp.

listing.faq

Can I paste mcp.tc/i/mnemoverse-memory into my MCP client?

No. mcp.tc links are pages, not server addresses. Connect with https://mcp.mnemoverse.com/mcp, so your client talks to Mnemoverse Memory 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 Mnemoverse Memory need an API key or a sign-in?

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

Is Mnemoverse Memory a remote or a local server?

Remote. Mnemoverse hosts it at https://mcp.mnemoverse.com/mcp, and it speaks Streamable HTTP. There's nothing to install.

What can Mnemoverse Memory do?

It has 11 tools, including memory_create_room, memory_feedback and memory_graph. You can write durable memories that persist across sessions and tools, search memory by natural-language query or list newest entries and send helpful or wrong feedback to re-rank recalled memories.

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 Mnemoverse Memory'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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