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MCP DuckDB Knowledge Graph Memory Server

@MCP-Mirror

リポジトリ

基本情報

カテゴリ

メモリとナレッジ

ライセンス

MIT license

トランスポート

stdio

作者

MCP-Mirror

MCP DuckDB Knowledge Graph Memory Server について

Mirror of

#mathgpt#math-solver#math-assistant

MCP DuckDB Knowledge Graph Memory Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "IzumiSy_mcp-duckdb-memory-server": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli",
        "install",
        "@IzumiSy/mcp-duckdb-memory-server",
        "--client",
        "claude"
      ]
    }
  }
}

MCP DuckDB Knowledge Graph Memory Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。

概要

What is MCP DuckDB Knowledge Graph Memory Server?

MCP DuckDB Knowledge Graph Memory Server is a forked version of the official MCP Knowledge Graph Memory Server that replaces its JSON-based backend with DuckDB. It is designed for developers using MCP clients (e.g., Claude Desktop) who need persistent, scalable, and queryable memory storage for knowledge graphs.

How to use MCP DuckDB Knowledge Graph Memory Server?

Install automatically via Smithery (npx -y @smithery/cli install @IzumiSy/mcp-duckdb-memory-server --client claude) or manually by adding @Izumisy/mcp-duckdb-memory-server to claude_desktop_config.json with an optional MEMORY_FILE_PATH environment variable. A Docker image is also available. After setup, follow the provided interaction instructions to search and update memory during conversations.

Key features of MCP DuckDB Knowledge Graph Memory Server

  • Replaces JSON backend with DuckDB for better performance and scalability
  • SQL interface for complex, flexible queries
  • Transaction support for data integrity
  • Fuzzy search via Fuse.js on top of SQL results
  • Embedded database – no external server required
  • Supports indexing to improve search performance

Use cases of MCP DuckDB Knowledge Graph Memory Server

  • Persistent memory for AI assistants across chat sessions
  • Storing and querying large knowledge graphs with millions of entities
  • Enabling rich conditional searches (e.g., “find all goals related to user X”)
  • Maintaining atomic updates for concurrent MCP interactions

よくある質問

1

How does this differ from the official Knowledge Graph Memory Server?

This version stores all data in a DuckDB database file instead of a JSON file, offering faster query performance, support for SQL queries, transaction safety, and better scalability for larger datasets.

2

What are the runtime requirements?

The server runs via `npx` (Node.js) and requires a Node.js runtime. Optionally, it can be used with Docker.

3

Where is the memory data stored?

Data is stored in a DuckDB database file. The path is set via the `MEMORY_FILE_PATH` environment variable (default location not specified).

4

Can it be used with other MCP clients besides Claude Desktop?

The README only provides configuration examples for Claude Desktop, but the server follows the MCP protocol and should work with any compatible MCP client.

5

Does it require authentication or special transport configuration?

No authentication or custom transport setup is mentioned in the README; it uses standard MCP stdio transport.

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