Cursor Memory MCP

@zjmwqx

About 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

Config

Add this server to your MCP-compatible client using the configuration below.

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

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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

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).

Frequently asked questions

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).

Comments

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