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Frequently Asked Questions (FAQ)

Q: What is the Cursor Memory MCP Server? A: The Cursor Memory MCP Server is a tool that enables AI assistants to create and manage project memory files in the Cursor IDE, enhancing coding efficiency and providing contextual awareness.

Q: How does the Cursor Memory MCP Server work? A: It uses the Model Context Protocol (MCP) to bridge AI models with Cursor’s project memory system, allowing AI to automatically create and manage .mdc memory files in your project’s .cursor/rules/ directory.

Q: What are the main features of the Cursor Memory MCP Server? A: Key features include automated memory record creation, structured file formatting, context preservation, multi-language support, cross-platform compatibility, and MCP standard compliance.

Q: How do I install the Cursor Memory MCP Server? A: You can install it via Smithery using the command npx -y @smithery/cli install cursor-memory-mcp --client cursor, or via pip/uv using the provided installation steps in the documentation.

Q: How do I integrate the Cursor Memory MCP Server with Cursor? A: Add the provided configuration to your Cursor MCP settings, which specifies the command and arguments for running the server.

Q: What is the Model Context Protocol (MCP)? A: MCP is an open protocol that standardizes how applications provide context to Large Language Models (LLMs), enabling AI models to access and interact with external data sources and tools.

Q: What kind of files does the server generate? A: The server generates .mdc files with a structured YAML format, including a description and the task summary.

Q: Can I contribute to the Cursor Memory MCP Server? A: Yes, contributions are welcome! See the Contributing Guide for details.

Q: What is Smithery? A: Smithery is a tool that simplifies the installation and management of AI development tools, providing a convenient way to install the Cursor Memory MCP Server.

Q: What parameters are required for the create_cursor_memory tool? A: The required parameters are task_summary, task_name, and project_path. An optional parameter is task_description.

Q: What is UBOS, and how does it relate to the Cursor Memory MCP Server? A: UBOS is a full-stack AI Agent development platform that can be integrated with the Cursor Memory MCP Server to centralize knowledge management, orchestrate AI Agents, and build custom AI Agents for enhanced coding assistance.

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