io.github.nikitacometa/mnemon-mcp

io.github.nikitacometa/mnemon-mcp·v1.0.1·Databases

Quality Score

/100

Persistent layered memory for AI agents. SQLite FTS5, fact versioning, zero-cloud.

Repository →

§01 Install

Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "mnemon-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "mnemon-mcp"
      ],
      "env": {
        "MNEMON_DB_PATH": "<mnemon_db_path>",
        "MNEMON_EMBEDDING_PROVIDER": "<mnemon_embedding_provider>",
        "MNEMON_EMBEDDING_API_KEY": "<your-mnemon_embedding_api_key>"
      }
    }
  }
}

Cursor (.cursor/mcp.json)

{
  "mcpServers": {
    "mnemon-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "mnemon-mcp"
      ],
      "env": {
        "MNEMON_DB_PATH": "<mnemon_db_path>",
        "MNEMON_EMBEDDING_PROVIDER": "<mnemon_embedding_provider>",
        "MNEMON_EMBEDDING_API_KEY": "<your-mnemon_embedding_api_key>"
      }
    }
  }
}

Cline (cline_mcp_settings.json)

npx -y mnemon-mcp

§02 Environment variables

MNEMON_DB_PATH

Path to SQLite database file (default: ~/.mnemon-mcp/memory.db)

MNEMON_EMBEDDING_PROVIDER

Embedding provider for vector search: 'openai' or 'ollama' (default: disabled)

MNEMON_EMBEDDING_API_KEY

secret

API key for embedding provider (required for OpenAI)

§03 MCP Quality Score · methodology

freshness

completeness

installability

documentation

stability

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