Cursor Memory MCP Server

@zjmwqx

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基本信息

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记忆与知识

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stdio

作者

zjmwqx

关于 Cursor Memory MCP Server

The Cursor Memory MCP Server provides a powerful tool to assist in coding with cursor, enpower cursor to operate with memory, make coding taste much more dilicious

Cursor Memory MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "cursor-memory-mcp": {
      "command": "uv",
      "args": [
        "tool",
        "install",
        "cursor-memory-mcp"
      ]
    }
  }
}

Cursor Memory MCP Server 工具

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当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

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 Cursor Memory MCP?

The Cursor Memory MCP Server is a bridge between AI assistants and Cursor's project memory system through the Model Context Protocol (MCP). It enables AI models to automatically create and manage .mdc memory files in the .cursor/rules/ directory, helping developers preserve task execution context for future reference.

How to use Cursor Memory MCP?

Install the tool globally with uv tool install cursor-memory-mcp, then configure it in Cursor's MCP settings by adding a JSON entry with the command uv tool run cursor-memory-mcp. Add a user rule in Cursor settings instructing the agent to use cursor memory after task completion, then invoke the agent. The server exposes a create_cursor_memory tool with parameters task_summary, task_name, task_description, and project_path.

Key features of Cursor Memory MCP

Automatically creates task memory files in .cursor/rules/
Generates properly formatted .mdc files per Cursor specifications
Preserves task execution context for future reference
Supports both Chinese and international content
Works on Windows, macOS, and Linux
Built on the MCP standard protocol for AI integration

Use cases of Cursor Memory MCP

Record task execution history during step-by-step development in Cursor
Provide previous context to AI assistants when resuming work on the same project
Maintain a structured memory log for multi-language development projects
Automatically timestamp duplicate memory files to avoid overwriting

常见问题

What tool does Cursor Memory MCP provide?

It provides one tool: `create_cursor_memory`, which creates `.mdc` memory files with task summary, name, description, and project path.

What are the required parameters for creating memory?

`task_summary` (string), `task_name` (string), and `project_path` (string) are required. `task_description` is optional.

Where are the generated memory files stored?

Files are stored in the `.cursor/rules/` directory of the specified project, with automatic timestamping if a duplicate name exists.

What are the validation rules for task names?

`task_name` must contain only letters, numbers, underscores, and hyphens. `task_summary` cannot be empty or whitespace only.

What runtime dependencies are required?

The server requires Python 3.11 or later and is installed via `uv` as a tool. It is cross-platform (Windows, macOS, Linux).

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