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  1. Home
  2. ๐Ÿง  Knowledge & Memory
  3. MCP Memory Server
MCP Memory Server logo
Health: ActiveRecent health check succeeded.Last checked 9/11/2026, 2:30:37 PM

MCP Memory Server

User RatingsBe the first to rate and review this MCP server!
View Repository21 GitHub StarsTotal stargazers on GitHub for the source repository (21 stars).Visit Website
memoryknowledgefeedbackrecencyhosted

Hosted memory server for AI agents with feedback-based ranking, recency fading, and multi-client API key support.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent โ€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

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.

Manual Client & Custom JSON ConfigExpand JSON โ–พ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "mnemoverse-mcp-memory-server": {
      "command": "npx",
      "args": [
        "-y",
        "@mnemoverse/mcp-memory-server@latest"
      ]
    }
  }
}

๐Ÿ’ก Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Tool Schemas (10) Directory Badge Claim listing Alternatives๐Ÿง  More in Knowledge & Memory

Overview

This server provides a hosted memory system for AI agents that stores, recalls, and manages memories with mechanisms for feedback-based re-ranking and recency-based fading. It supports storing insights, preferences, and lessons learned, and allows searching and listing memories with optional filters. It is designed to persist memory across sessions, projects, and tools without requiring infrastructure setup. It is compatible with multiple MCP clients and uses a single API key for access.

Use cases

โ€ขStore insights, preferences, or lessons learned as memories
โ€ขSearch memories by natural language queries with recency or time filters
โ€ขList recent memories with cursor-based pagination
โ€ขProvide feedback on memory helpfulness to improve recall ranking
โ€ขDelete individual memories or wipe entire memory domains

Key features

โ€ขMemory write, read, list, feedback, stats, and delete APIs
โ€ขFeedback-driven re-ranking of memories based on helpfulness
โ€ขRecency-based fading of recall relevance
โ€ขDomain-based memory organization with deletion support
โ€ขSingle API key usable across multiple AI tools and MCP clients
โ€ขHosted service with no infrastructure to run

Capabilities & Tool Schemas (10) ~207 tokensApproximate context cost of this serverโ€™s tool schemas (~4 chars/token), before any tool is called. Actual usage depends on your client and model.Self-reported Self-reportedParsed from the repository README, not verified against a live server โ€” may be incomplete or out of date.

Inspect callable tools, capabilities, and parameters exposed to AI agents by MCP Memory Server.

memory_write

Store a memory โ€” insight, preference, lesson learned

memory_read

Search memories by natural language query (optional recency ordering, time bounds, author exclusion)

memory_list_recent

List newest memories first โ€” no query; `since`/`until` bounds (inclusive) + cursor paging

memory_feedback

Rate memories as helpful or not (improves future recall)

memory_stats

Check how many memories stored, which domains exist

memory_create_room

Create a shared memory room; its address works as a `domain` on write/read

Documentation Overview

Mnemoverse Memory

@mnemoverse/mcp-memory-server โ€” the MCP server for the Mnemoverse memory engine.

npm version npm downloads MCP Registry License: MIT Research: SLoD arXiv Glama quality

What is Mnemoverse Memory?

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.

How it compares

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.

Quick Start

1. Get a free API key

Sign up at console.mnemoverse.com โ€” takes 30 seconds, no credit card.

2. Connect to your AI tool

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:

Terminal
claude mcp add mnemoverse -s user \
  -e MNEMOVERSE_API_KEY=mk_live_YOUR_KEY \
  -e MNEMOVERSE_API_URL=https://core.mnemoverse.com/api/v1 \
  -- npx -y @mnemoverse/mcp-memory-server@latest

On Windows (PowerShell), paste the same command as one line โ€” PowerShell does not read the \ line continuations:

Terminal
claude mcp add mnemoverse -s user -e MNEMOVERSE_API_KEY=mk_live_YOUR_KEY -e MNEMOVERSE_API_URL=https://core.mnemoverse.com/api/v1 -- npx -y @mnemoverse/mcp-memory-server@latest

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.

Add to Cursor

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.

config.json
{
  "mcpServers": {
    "mnemoverse": {
      "command": "npx",
      "args": [
        "-y",
        "@mnemoverse/mcp-memory-server@latest"
      ],
      "env": {
        "MNEMOVERSE_API_KEY": "mk_live_YOUR_KEY",
        "MNEMOVERSE_API_URL": "https://core.mnemoverse.com/api/v1"
      }
    }
  }
}
All other clients โ€” VS Code, Windsurf, Zed, JetBrains, Cline, Continue

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:

config.json
{
  "servers": {
    "mnemoverse": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@mnemoverse/mcp-memory-server@latest"
      ],
      "env": {
        "MNEMOVERSE_API_KEY": "mk_live_YOUR_KEY",
        "MNEMOVERSE_API_URL": "https://core.mnemoverse.com/api/v1"
      }
    }
  }
}

Windsurf โ€” add to ~/.codeium/windsurf/mcp_config.json:

config.json
{
  "mcpServers": {
    "mnemoverse": {
      "command": "npx",
      "args": [
        "-y",
        "@mnemoverse/mcp-memory-server@latest"
      ],
      "env": {
        "MNEMOVERSE_API_KEY": "mk_live_YOUR_KEY",
        "MNEMOVERSE_API_URL": "https://core.mnemoverse.com/api/v1"
      }
    }
  }
}

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):

config.json
{
  "context_servers": {
    "mnemoverse": {
      "source": "custom",
      "command": "npx",
      "args": [
        "-y",
        "@mnemoverse/mcp-memory-server@latest"
      ],
      "env": {
        "MNEMOVERSE_API_KEY": "mk_live_YOUR_KEY",
        "MNEMOVERSE_API_URL": "https://core.mnemoverse.com/api/v1"
      }
    }
  }
}

JetBrains (AI Assistant) โ€” Settings โ†’ Tools โ†’ AI Assistant โ†’ Model Context Protocol (MCP), then paste:

config.json
{
  "mcpServers": {
    "mnemoverse": {
      "command": "npx",
      "args": [
        "-y",
        "@mnemoverse/mcp-memory-server@latest"
      ],
      "env": {
        "MNEMOVERSE_API_KEY": "mk_live_YOUR_KEY",
        "MNEMOVERSE_API_URL": "https://core.mnemoverse.com/api/v1"
      }
    }
  }
}

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:

config.json
{
  "mcpServers": {
    "mnemoverse": {
      "command": "npx",
      "args": [
        "-y",
        "@mnemoverse/mcp-memory-server@latest"
      ],
      "env": {
        "MNEMOVERSE_API_KEY": "mk_live_YOUR_KEY",
        "MNEMOVERSE_API_URL": "https://core.mnemoverse.com/api/v1"
      }
    }
  }
}

Continue โ€” add ~/.continue/mcpServers/mnemoverse.yaml (Continue uses YAML):

yaml
mcpServers:
  - name: mnemoverse
    command: npx
    args:
      - "-y"
      - "@mnemoverse/mcp-memory-server@latest"
    env:
      MNEMOVERSE_API_KEY: "mk_live_YOUR_KEY"
      MNEMOVERSE_API_URL: "https://core.mnemoverse.com/api/v1"

Why @latest? Bare npx @mnemoverse/mcp-memory-server is cached indefinitely by npm and stops re-checking the registry. The @latest suffix forces a metadata lookup on every Claude Code / Cursor / VS Code session start (~100-300ms), so you always pick up new releases.

โš ๏ธ Restart your AI client after editing the config. MCP servers are only picked up on client startup.

3. Try it โ€” 30 seconds to verify it works

Paste this in your AI chat:

"Remember that my favourite TypeScript framework is Hono, and please call memory_write to 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.

Tools

Read the full README โ†’View source on GitHub โ†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks โ€” not a rating.

GitHub stars
21
Stargazers on the source repository.
Last commit
1d ago
Most recent push to the default branch.
Tools exposed
10
Callable tools this server registers over MCP.
Directory activity
2 views
Config copies, upvotes, and views on AllMCPs.

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Frequently Asked Questions about MCP Memory Server

You must obtain a free API key from console.mnemoverse.com and provide it via the MNEMOVERSE_API_KEY environment variable.

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Technical Specs & Signals

Category๐Ÿง Knowledge & Memory
PricingFreemium
More technical detailsExpand โ–พ
TransportSTDIO
RuntimeNode.js
AuthAPI key
LicenseMIT
ClientsClaude Desktop, Cursor, Windsurf, Cline / VS Code
Last updatedSep 10, 2026
9/12 checks healthy over the last 32d
Views2
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars21
GitHub Star CountTotal stargazers on GitHub representing community popularity (21 stars).
Last commit1d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Sep 10, 2026
59Quality signal: Good ยท 59/100How this signal is calculated โ–พ
Server availabilityNot measured

Not scored for repo-hosted servers โ€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools28/30
Adoption & activity6/15
Community engagement0/10

A guidance signal from public completeness & health data โ€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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Scanned 27d ago via OSV.dev ยท @mnemoverse/mcp-memory-server@latest (npm)

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