Hosted memory server for AI agents with feedback-based ranking, recency fading, and multi-client API key support.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent โ or use 1-click editor setup below.
We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag โ we're steadily working through the catalog.
๐ก Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Inspect callable tools, capabilities, and parameters exposed to AI agents by MCP Memory Server.
memory_writeStore a memory โ insight, preference, lesson learned
memory_readSearch memories by natural language query (optional recency ordering, time bounds, author exclusion)
memory_list_recentList newest memories first โ no query; `since`/`until` bounds (inclusive) + cursor paging
memory_feedbackRate memories as helpful or not (improves future recall)
memory_statsCheck how many memories stored, which domains exist
memory_create_roomCreate a shared memory room; its address works as a `domain` on write/read
@mnemoverse/mcp-memory-server โ the MCP server for the Mnemoverse memory engine.
Mnemoverse is a hosted memory engine for AI agents, reached over the Model Context Protocol. Mnemoverse stores what your agents learn โ decisions, preferences, lessons โ and returns it in any connected tool, so one memory follows you across Claude Code, Cursor, VS Code and ChatGPT with a single API key. Mnemoverse re-ranks recall from outcomes: report that a recalled memory helped and a Rescorla-Wagner update on the prediction error raises it, report that it misled and it sinks โ a different mechanism from similarity scoring, usable alongside it.
Most agent memory today lives in one of three places. Per-tool instruction files โ CLAUDE.md, .cursorrules, AGENTS.md โ are versioned and readable, but each copy belongs to one repo and one tool, and nothing follows you to the next window. A vector store behind RAG retrieves by similarity, and similarity never changes because advice helped or misled. Local-first memory servers win on privacy and latency, and ask you to run and update the infrastructure yourself. Mnemoverse is the managed, cross-tool option in that landscape: nothing to deploy, one key everywhere, and ranking that moves with reported outcomes. If you need memory inside your own perimeter, a local-first server is the better choice โ this one is hosted by design.
The consolidation stage of the engine โ HDBSCAN clustering with Von Restorff protection, so distinctive memories are not absorbed into the average โ is designed in and currently switched off on the hosted service; our docs say so rather than hide it.
โญ If Mnemoverse saves you from re-explaining context to your agents, star the repo. It helps other builders find it.
Sign up at console.mnemoverse.com โ takes 30 seconds, no credit card.
The two canonical setups, Claude Code and Cursor. Each writes the key once, at user scope, covering every project. Avoid a per-project config file for this: it lives inside the repository and can be committed with it, and a key belongs outside:
Claude Code โ add via CLI:
On Windows (PowerShell), paste the same command as one line โ PowerShell does not read the \ line continuations:
Cursor โ click to install, or add the JSON below to ~/.cursor/mcp.json, the global config that covers every project. Do not put it in a project-level .cursor/mcp.json: that file lives inside the repository and is committed with it unless you exclude it, and this config holds your key.
The install button carries the placeholder key mk_live_YOUR_KEY, not yours, so the shortest path is to skip the button: add the JSON below to ~/.cursor/mcp.json, merging it with any servers already there, and put your own key in place. Get one at console.mnemoverse.com. If you did click the button, edit the same key in the mcp.json it wrote; Cursor keeps MCP environment values in that file, not in a settings form. Until the key is real the server starts and lists its tools, but every tool call is refused.
VS Code โ add to .vscode/mcp.json (note: VS Code uses servers, not mcpServers). That file is meant to be committed and shared with your team, so the key in it is too โ if you'd rather keep it out of the repo, run MCP: Open User Configuration from the Command Palette and add the same JSON to your user profile's mcp.json instead:
Windsurf โ add to ~/.codeium/windsurf/mcp_config.json:
More MCP clients โ same server, different config file:
Zed โ add to ~/.config/zed/settings.json (Zed uses context_servers, and "source": "custom" is required):
JetBrains (AI Assistant) โ Settings โ Tools โ AI Assistant โ Model Context Protocol (MCP), then paste:
Cline โ MCP Servers โ Configure (or edit cline_mcp_settings.json). Cline reads env values literally, so paste your real key โ not a ${VAR} reference:
Continue โ add ~/.continue/mcpServers/mnemoverse.yaml (Continue uses YAML):
Why
@latest? Barenpx @mnemoverse/mcp-memory-serveris cached indefinitely by npm and stops re-checking the registry. The@latestsuffix forces a metadata lookup on every Claude Code / Cursor / VS Code session start (~100-300ms), so you always pick up new releases.
โ ๏ธ Restart your AI client after editing the config. MCP servers are only picked up on client startup.
Paste this in your AI chat:
"Remember that my favourite TypeScript framework is Hono, and please call
memory_writeto save it."
Your agent should call memory_write and confirm the memory was stored.
Then open a new chat / new session (this is the whole point โ memory survives restarts), and ask:
"What's my favourite TypeScript framework?"
Your agent should call memory_read, find the entry, and answer "Hono". If it does โ you're wired up. Write whatever you want next.
If it doesn't remember: check that the client was fully restarted and the config has your real mk_live_... key, not the placeholder.
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