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.
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Basic information
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
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"cursor-memory-mcp": {
"command": "uv",
"args": [
"tool",
"install",
"cursor-memory-mcp"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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.
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.
.cursor/rules/.mdc files per Cursor specificationsIt provides one tool: `create_cursor_memory`, which creates `.mdc` memory files with task summary, name, description, and project path.
`task_summary` (string), `task_name` (string), and `project_path` (string) are required. `task_description` is optional.
Files are stored in the `.cursor/rules/` directory of the specified project, with automatic timestamping if a duplicate name exists.
`task_name` must contain only letters, numbers, underscores, and hyphens. `task_summary` cannot be empty or whitespace only.
The server requires Python 3.11 or later and is installed via `uv` as a tool. It is cross-platform (Windows, macOS, Linux).
Memlord is a remote MCP server available at https://app.memlord.com.
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