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Turbo Quant Memory MCP Server

Developer ToolsUse Caution3.6MCP RegistryLocal
Free

Server data from the Official MCP Registry

Local-first memory and knowledge graph for coding agents. Compact retrieval, no network.

About

Local-first memory and knowledge graph for coding agents. Compact retrieval, no network.

Security Report

3.6
Use Caution3.6High Risk

Valid MCP server (1 strong, 2 medium validity signals). 8 known CVEs in dependencies (0 critical, 6 high severity) Package registry verified. Imported from the Official MCP Registry.

3 files analyzed · 9 issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

file_system

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env_vars

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Unverified package source

We couldn't verify that the installable package matches the reviewed source code. Proceed with caution.

What You'll Need

Set these up before or after installing:

Snowball stemmer for the BM25 lane. Use Russian for Cyrillic-dominant corpora.Optional

Environment variable: TQMEMORY_FTS_LANGUAGE

Embedder backend. Default fastembed (ONNX); sentence-transformers needs the [torch] extra.Optional

Environment variable: TQMEMORY_EMBEDDING_BACKEND

Set to 1 to apply pending schema migrations automatically on startup.Optional

Environment variable: TQMEMORY_MIGRATE_ON_STARTUP

Argon2id passphrase for the secrets vault on headless hosts. Omit to use the OS keyring.Required

Environment variable: TQMEMORY_SECRETS_PASSPHRASE

How to Install

Add this to your MCP configuration file:

{
  "mcpServers": {
    "io-github-lexus2016-turbo-quant-memory": {
      "env": {
        "TQMEMORY_FTS_LANGUAGE": "your-tqmemory-fts-language-here",
        "TQMEMORY_EMBEDDING_BACKEND": "your-tqmemory-embedding-backend-here",
        "TQMEMORY_MIGRATE_ON_STARTUP": "your-tqmemory-migrate-on-startup-here",
        "TQMEMORY_SECRETS_PASSPHRASE": "your-tqmemory-secrets-passphrase-here"
      },
      "args": [
        "turbo-quant-memory"
      ],
      "command": "uvx"
    }
  }
}

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