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MCP Server: Memory

@kwanLeeFrmVi

リポジトリ

MCP Server: Memory について

概要はまだありません

基本情報

カテゴリ

メモリとナレッジ

ライセンス

MIT license

ランタイム

node

トランスポート

stdio

公開者

kwanLeeFrmVi

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": {
    "memory": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-server-memory"
      ],
      "env": {
        "MEMORY_FILE_PATH": "/path/to/your/custom_memory.json"
      }
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is MCP Server: Memory?

MCP Server: Memory is an MCP (Model Context Protocol) server that provides persistent memory capabilities for AI models through a local knowledge graph. It is derived from the original @modelcontextprotocol/server-memory package and acts as a bridge between an AI model (such as Claude) and a locally stored knowledge graph, enabling the model to retain and recall information across interactions.

How to use MCP Server: Memory?

The server is primarily used with MCP-compatible clients like Claude Desktop. Configure it in the client’s settings under mcpServers, specifying the npx command with the package name mcp-server-memory. Optionally set the MEMORY_FILE_PATH environment variable to customize the location of the knowledge graph file.

Key features of MCP Server: Memory

  • Create and manage entities (people, places, concepts, etc.)
  • Define relationships between entities
  • Store observations or facts associated with entities
  • Search and retrieve information from the knowledge graph
  • Persistent storage in a local JSON file

Use cases of MCP Server: Memory

  • Enabling an AI assistant to remember user preferences and history across sessions
  • Building a personal knowledge base that an AI can query and update
  • Creating a collaborative memory store where multiple interactions accumulate facts
  • Providing context for long-running conversations or multi-step tasks

FAQ from MCP Server: Memory

What does MCP Server: Memory do?

It implements the Model Context Protocol to give AI models persistent memory via a knowledge graph. The model can create entities, define relationships, store observations, and search for information across interactions.

How is this different from the original @modelcontextprotocol/server-memory?

This package is a modified version of the original server, tailored for the author’s specific needs. The README does not provide further details on differences.

What are the runtime requirements?

The server runs via npx, which requires Node.js. The package is published on npm. No other dependencies are explicitly mentioned.

Where is the knowledge graph data stored?

By default, the knowledge graph is stored in a knowledge_graph.json file in the current working directory. You can override the path using the MEMORY_FILE_PATH environment variable.

Does the server support authentication or transport security?

The README does not mention any authentication or transport security mechanisms.

コメント

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