Cursor Memory MCP
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关于 Cursor Memory MCP
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
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"
]
}
}
}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 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
.mdcfiles 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
FAQ from Cursor Memory MCP
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).
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).
基本信息
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