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MemoraEU MCP server

by pquattro·io.github.pquattro/memoraeu-mcp·v0.1.2·1 stars

Zero-knowledge persistent memory for Claude — encrypted, semantic search, EU hosted.

B72/100grade B
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B72/100

full report

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1 stars29 downloads/wk

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MemoraEU tools (3)

write = sends, deletes, buys or posts

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

  • forget

    Supprime une mémoire par son ID.

  • list_categories

    Retourne les catégories existantes triées par usage.

  • list_memories

    Liste les mémoires récentes.

Public scan report

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

no findings
  • Code scan8 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 qualitystatic API keys via environment variables6/15
  • Maintenancelast push 137 days ago8/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 72/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How MemoraEU compares

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

Safety score
72/100
higher than 40% of 3,470 Web search servers
Tools
3
the typical Web search server has 5
Tools that change things
0%
typical: 0%. Fewer write tools means less an agent can break
GitHub stars
1
more than 55% of 1,786 Web search servers
Downloads a week
29
more than 15% of 827 Web search servers with a package

What its tools let an agent do: 3 read

Install MemoraEU in Claude Code, Cursor or VS Code

claude mcp add memoraeu-mcp -- uvx memoraeu-mcp
Add to Cursor

What the publisher says

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

memoraeu-mcp

<!-- mcp-name: io.github.pquattro/memoraeu-mcp -->

🇬🇧 English | 🇫🇷 Français

English

Zero-knowledge persistent memory layer for Claude — MCP server

MemoraEU gives Claude a persistent, encrypted memory. All content is encrypted client-side with AES-256-GCM before reaching the server — the server never sees your plaintext. Semantic search is powered by Mistral embeddings generated locally on your machine, before encryption.

Features

  • 🔒 Zero-knowledge — AES-256-GCM encryption, key never leaves your machine
  • 🧠 Semantic search — embeddings generated locally before encryption (Qdrant on server)
  • 🔄 Auto memory — remembers and recalls context automatically
  • 🚫 Deduplication — detects near-duplicate memories before storing
  • 🇪🇺 EU hosted — GDPR compliant infrastructure

Installation

pip install memoraeu-mcp

Or with uvx (no install required, recommended):

uvx memoraeu-mcp

Claude Desktop configuration

Add to your claudedesktopconfig.json, under mcpServers:

{
  "mcpServers": {
    "memoraeu": {
      "command": "uvx",
      "args": ["memoraeu-mcp"],
      "env": {
        "MEMORAEU_API_URL": "https://api.memoraeu.com",
        "MEMORAEU_API_KEY": "meu-sk-...",
        "MEMORAEU_SECRET": "your-memoraeu-password",
        "MEMORAEU_SALT": "your-kdf-salt",
        "MISTRAL_API_KEY": "your-mistral-key"
      }
    }
  }
}

Understanding the variables

These five variables serve three distinct purposes — they are not interchangeable:

Why does the MCP need its own Mistral key?

Zero-knowledge means the server never sees your plaintext. To enable semantic search, embeddings must be computed before the content is encrypted — on your machine. The MCP calls Mistral directly with the plaintext, gets the embedding vector, encrypts the content, then sends both to the server. The server stores the opaque blob and the vector, but cannot reconstruct the original text. Without MISTRALAPIKEY, semantic search will not work.

Without MISTRALAPIKEY: The MCP will still work — remember and recall will function, but semantic search will fall back to keyword-based search on the server side. Zero-knowledge encryption is unaffected.

Getting your keys

  1. Sign up at app.memoraeu.com
  2. Go to Settings → Encryption Keys → copy MEMORAEU_SALT
  3. MEMORAEU_SECRET is your MemoraEU login password
  4. Go to Settings → API Keys → create a key → copy MEMORAEUAPIKEY
  5. Get a Mistral API key at console.mistral.ai

Remote MCP via SSE (no local install)

You can connect directly from claude.ai web, Cursor, Windsurf or any remote MCP client without installing anything locally:

SSE endpoint: https://api.memoraeu.com/mcp/sse
Auth: Authorization: Bearer meu-sk-...

Example config for Cursor / Windsurf:

{
  "mcpServers": {
    "memoraeu": {
      "type": "sse",
      "url": "https://api.memoraeu.com/mcp/sse",
      "headers": {
        "Authorization": "Bearer meu-sk-..."
      }
    }
  }
}

Shortened. The full README is on GitHub.

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

MemoraEU: common questions

Is MemoraEU MCP server safe?
Mostly: it is graded B (72/100). Read the MemoraEU safety report
How do I install MemoraEU?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does MemoraEU need an API key?
Yes. The registry entry asks for MEMORAEU_API_KEY, MEMORAEU_SECRET, MEMORAEU_SALT, MISTRAL_API_KEY.
Is MemoraEU maintained?
The last commit was 174 days ago (2026-05-14). The latest release is v0.1.2.
What can I use instead of MemoraEU?
Servers from other publishers that do the same job: Shodh Memory MCP server, Octobrain MCP server and DocsMint MCP server.
How does MemoraEU compare with other Web search MCP servers?
safety score 72/100 (higher than 40% of 3,470 Web search servers); tools 3 (the typical Web search server has 5); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

Alternatives to MemoraEU

Same job from other publishers: the closest match first, then the best rated.

  • Shodh Memory
    Cognitive memory for AI agents — semantic search, Hebbian learning, knowledge graphs.
    C
  • Octobrain
    Persistent memory for AI assistants with semantic search and knowledge graph relationships.
    A
  • DocsMint
    Cloud or self-hosted knowledge for AI agents: hybrid search, reranking, GraphRAG, scoped MCP tools.
    A
  • Sui Knowledge Base (kapa.ai)
    Semantic search across Sui documentation and knowledge sources, powered by kapa.ai
    A
  • Marm
    Universal MCP Server with advanced AI memory capabilities and semantic search.
    A