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Mnemoscope MCP server

by toonight·io.github.toonight/mnemoscope·v0.2.0·1 stars
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Predict context rot, sign every agent write, tier reads. Markdown-native, 100% local.

B82/100grade B
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Safety scan
B82/100

full report

Adoption
New

1 stars35 downloads/wk

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If you have run it, two minutes of your experience saves the next person an afternoon.

Mnemoscope tools (4)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • get_tiered_read

    Returns a tiered (working / episodic / semantic) view of a Markdown vault, designed to be used as a compacted context substitute instead of injecting the full vault.

  • predict_rot

    Compute a predictive context-rot risk score (0-100) for a Markdown vault before injecting it into an LLM. Returns the score, a breakdown of contributing factors, and the 5 highest-risk notes.

  • read_journal

    Read the journal entries for a vault. Optionally filter by session_id.

  • record_journal

    Append an entry to the local signed journal of agent operations on a vault. Use this to record reads, writes, creates, or deletes performed during a session.

Public scan report

scanner v0.1.9 · 2026-09-27 · same rubric, same numbers if you re-run it

no findings
  • Code scan5 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 150 days ago8/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 82/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Mnemoscope compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
82/100
higher than 65% of 4,460 AI and agents servers
Tools
4
the typical AI and agents server has 6
Tools that change things
0%
typical: 0%. Fewer write tools means less an agent can break
GitHub stars
1
more than 50% of 2,711 AI and agents servers
Downloads a week
35
more than 25% of 1,538 AI and agents servers with a package

What its tools let an agent do: 4 read

Install Mnemoscope in Claude Code, Cursor or VS Code

Runs npx -y @mnemoscope/mcp-server on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add mnemoscope -- npx -y @mnemoscope/mcp-server
Add to Cursor

What the publisher says

From the Mnemoscope repository's README, as published. We do not edit it. Read it on GitHub

An open-source observability layer for LLM agent memory on Markdown vaults. Predict context rot before it happens · audit every agent write with a signed journal · tier your knowledge the way the science says you should.

Demo · Workflow · Tools · Quickstart · Architecture · Science

[!NOTE]

The dominant 2025–2026 narrative on X — "Markdown trips up the LLM at scale" — is partially wrong. Markdown does not trip up the LLM. Long-context loading trips up the LLM (Chroma, Context Rot, July 2025). Mnemoscope is built on that distinction.

👀 See it in action

Real output, captured from the bundled examples/demo-vault — a 13-note synthetic vault built so every rot factor moves. Reproduce locally with mnemoscope-init examples/demo-vault (full transcript: SAMPLE-OUTPUT.md).

predictrot — score, factors, top-risk notes**

mnemoscope-verify — clean run vs. tamper detection

Full overview (click) — gauge, factors, top-risk notes, both verify states, tier counts, hash chain — all on one page

✨ What is Mnemoscope?

Mnemoscope is not another memory store. It is an instrument that sits between your LLM agent and your Markdown vault and gives you three things nobody else gives you in one tool:

  • 🎯 Predict the rot risk of a corpus before injection, with a citation-backed score across 5 factors.
  • 📝 Witness every read and write your agent performs, in an Ed25519-signed, hash-chained journal that detects field-level tampering, deletion, and reordering.
  • 🧱 Tier the corpus into a working / episodic / semantic hierarchy, drawing on the 2025–2026 science instead of the GraphRAG hype.

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Mnemoscope: common questions

Is Mnemoscope MCP server safe?
Mostly: it is graded B (82/100). Read the Mnemoscope safety report
How do I install Mnemoscope?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Mnemoscope need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Mnemoscope maintained?
The last commit was 188 days ago (2026-04-30). The latest release is v0.2.0.
What can I use instead of Mnemoscope?
Servers from other publishers that do the same job: Basic Memory MCP server, Agent-Native Slides MCP server and IWE (iwe.md) MCP server.
How does Mnemoscope compare with other AI and agents MCP servers?
safety score 82/100 (higher than 65% of 4,460 AI and agents servers); tools 4 (the typical AI and agents server has 6); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

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