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Mnemoscope

by toonightversion 0.2.0i★ –iRuns on your computer
Registry nameio.github.toonight/mnemoscope

Install

Overview

Description from the maker (original English)

Predict context rot, sign every agent write, tier reads. Markdown-native, 100% local.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "mnemoscope": {
      "command": "npx",
      "args": [
        "-y",
        "@mnemoscope/mcp-server"
      ]
    }
  }
}

Run this in your terminal

claude mcp add mnemoscope -- npx -y @mnemoscope/mcp-server

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "mnemoscope": {
      "command": "npx",
      "args": [
        "-y",
        "@mnemoscope/mcp-server"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "mnemoscope": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@mnemoscope/mcp-server"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account toonight, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32686 servers in this category
  • Published to the registry more recently than 8% of the other 32686 servers in this category
  • Basic checks equal to or better than 100% of the other 32686 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Mnemoscope safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.2.0) reached the registry 6 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Microsoft Exchange Online MCP

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated 2 days ago
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Exchange Online admin for MSPs: forwarding audits, EWS posture and offboarding, no PowerShell

Runs on your computerUpdated today
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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

@mnemoscope/mcp-server

MCP server exposing Mnemoscope's context-rot scoring, tiered reading, and signed journal tools to any Model Context Protocol–compatible client (Claude Code, Cursor, ChatGPT desktop, anything that speaks MCP over stdio).

100% local. No cloud. No telemetry. Apache-2.0.

Install

npm install -g @mnemoscope/mcp-server

the mnemoscope-mcp binary is now on your PATH

Or run via npx without a global install:

npx -y @mnemoscope/mcp-server

Connect to Claude Code

// ~/.claude/settings.json

{ "mcpServers": { "mnemoscope": { "command": "npx", "args": ["-y", "@mnemoscope/mcp-server"] } } }

Restart Claude Code. The four tools below are discovered automatically.

Tools

ToolInputWhat it returns
predict_rotvault_path0–100 risk score, dominant factor, full factor breakdown, top-5 risk notes, vault stats
get_tiered_readvault_path, optional working_max_age_days, episodic_max_age_daysWorking / episodic / semantic split of the vault by freshness
record_journalvault_path, session_id, op (read/write/create/delete), target_path, optional contentThe signed entry, including its sig, keyFingerprint, and prevHash
read_journalvault_path, optional session_idAll journal entries, or a single session's
Example — predict_rot
{

"rot_risk": 41, "dominant_factor": "tokenVolume", "factors": { "tokenVolume": 100, "semanticRedundancy": 0, "distractorDensity": 2.65, "structuralCoherence": 100, "freshnessSpread": 0 }, "top_risk_notes": [ { "relPath": "brainstorms/.../transcript.md", "approxTokens": 13439, "reason": "very large note" } ], "vault_stats": { "noteCount": 113, "approxTokens": 506823 }, "baseline_model": "v0-heuristic", "version": "0.1.0" }

Bootstrap a vault

Before the journal tools work the vault needs an Ed25519 keypair. The companion @mnemoscope/cli ships mnemoscope-init for that:

npx -p @mnemoscope/cli mnemoscope-init /path/to/your/vault

The auto-onboarding modal in the Obsidian plugin does the same on first launch.

Verify the journal

npx -p @mnemoscope/cli mnemoscope-verify /path/to/your/vault

Exits non-zero on field tampering, hash-chain break, or entries signed by a key the current vault does not own.

What this server does NOT do

  • It does not store or transmit your vault content. All reads are local; all writes are local.
  • It does not call any external service. (The optional mnemoscope-timestamp CLI in @mnemoscope/cli POSTs *only* a SHA-256 digest of each journal entry's signature to a public OpenTimestamps calendar — never any vault content.)
  • It does not replace a memory store. It is an *instrument* for one — see the README for the comparison with Letta, Mem0, Zep, Cognee, MemPalace, and Smart Connections.

Repo + docs

  • Source, issues, releases: https://github.com/toonight/Mnemoscope
  • Architecture, threat model, scientific posture: see the main README

License

Apache-2.0.

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