MCP Server: Memory

Name: MCP Server: Memory
Author: kwanLeeFrmVi

@kwanLeeFrmVi

代码仓库

关于 MCP Server: Memory

暂无概览

基本信息

分类

记忆与知识

许可证

MIT license

运行时

node

传输方式

stdio

发布者

kwanLeeFrmVi

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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.

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