Work Memory MCP Server

Claude와 Cursor AI 간 업무 컨텍스트 공유를 위한 MCP 서버 - 통신 안정성 개선 및 로그 최적화

Local serverstdioTypeScript

What is the Work Memory MCP MCP server?

If you want an AI assistant working directly with Work Memory MCP, the work memory mcp mcp server is the bridge. Claude와 Cursor AI 간 업무 컨텍스트 공유를 위한 MCP 서버 - 통신 안정성 개선 및 로그 최적화.

What Work Memory MCP does

An integrated MCP (Model Context Protocol) server for managing work memories and sharing context between AI tools.

Tools it exposes

Once connected, the assistant can call these 4 tools directly:

  • Persistence — While AI conversations disappear when sessions end, important work content and deliverables should be permanently preserved. Work Memory MCP safely stores all
  • Consistency — You can share the same work context even when using multiple AI tools. Work started in Claude Desktop can be continued in Cursor AI or referenced from other
  • Efficiency — There's no need to repeatedly explain already solved problems or organized information. Through an advanced search system, you can quickly find and reuse past
  • Organization — Rather than randomly scattered information, you can build a systematically organized knowledge base by project, importance level, and tags. Session-based

Installing the work memory mcp mcp server

Setup follows the standard MCP pattern: clone or install the server, then register it in your client's configuration file and restart the client. The configuration snippets on this page cover Claude Desktop, Claude Code and Cursor.

Configuration

The server reads 2 environment variables: WORK_MEMORY_DIR, LOG_LEVEL. Keep credentials in your client's env block or a secrets manager rather than committing them.

Where it fits

Database servers turn schema archaeology and ad-hoc reporting into conversation, which is why they tend to be the second or third server people install. Work Memory MCP sits in that group, and the shape of its toolset — Persistence, Consistency, Efficiency among others — tells you what it is really for. Worth comparing against the other databases servers in this directory before you commit to one, since several overlap in scope but differ sharply in setup cost and permissions.

Practical notes

  • This server runs locally, so it operates with whatever access your machine and its credentials already have. Scope that deliberately rather than by default.
  • Maintained by moontmsai, written in TypeScript.
  • MCP clients ask for confirmation before each tool call by default. Keep that on while you learn what the work memory mcp mcp server actually does with your data.
  • Every entry in this directory is reviewed by hand before it goes live, and details are checked against the project's own documentation.

Available tools

ToolWhat it does
PersistenceWhile AI conversations disappear when sessions end, important work content and deliverables should be permanently preserved. Work Memory MCP safely stores all important work memories in a SQLite database, making them acc
ConsistencyYou can share the same work context even when using multiple AI tools. Work started in Claude Desktop can be continued in Cursor AI or referenced from other tools, providing a consistent work environment.
EfficiencyThere's no need to repeatedly explain already solved problems or organized information. Through an advanced search system, you can quickly find and reuse past work content, significantly improving work efficiency.
OrganizationRather than randomly scattered information, you can build a systematically organized knowledge base by project, importance level, and tags. Session-based management clearly separates and manages the context of each proje

How to install the Work Memory MCP MCP server

{
  "mcpServers": {
    "work-memory": {
      "command": "node",
      "args": ["/PATH/work-memory/dist/index.js"],
      "env": {
        "WORK_MEMORY_DIR": "/PATH/work-memory/data/",
        "LOG_LEVEL": "WARN",
        "NODE_ENV": "production"
      }
    }
  }
}

Configuration as documented by the project. Restart the client after saving.

Configuration

VariableDescriptionRequired
WORK_MEMORY_DIRFilesystem location the server is allowed to use.Optional
LOG_LEVELConfiguration value read at startup.Optional

Example prompts to try

  • Use Work Memory MCP to Persistence.
  • Use Work Memory MCP to Consistency.
  • Use Work Memory MCP to Efficiency.

Frequently asked questions

It connects Work Memory MCP to MCP-compatible AI assistants such as Claude and Cursor, exposing 4 tools (Persistence, Consistency, Efficiency, and more) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with Work Memory MCP directly.