User Prompt MCP
An MCP server designed for Cursor, supporting requests for user input during the AI generation process
rating : 2.5 points
downloads : 7
What is the Model Context Protocol (MCP) Server?
The MCP server is a bridge connecting AI models and users, allowing AI to request user input during the generation process, thus providing a more natural and efficient interactive experience.How to Use the MCP Server?
You can enable the MCP server in just a few simple steps, allowing AI to request more information from you when needed.Applicable Scenarios
The MCP server is suitable for application scenarios that require high - level interaction, such as creative writing, programming assistance, data analysis, etc.Main Features
User Input PromptAllow AI to request more user information during the generation process without ending the current task.
Cross - Platform SupportSupport Linux and macOS systems to ensure wide compatibility.
Graphical User InterfaceDisplay input prompts through simple dialog boxes to enhance the user experience.
Advantages and Limitations
Advantages
Enhance the interaction between AI and users
No need to frequently interrupt the generation process
Cross - platform support with a wide range of applications
Limitations
Dependent on the support of clients (such as Cursor)
May increase a certain amount of latency
How to Use
Install the MCP Server
Quickly deploy the MCP server through the installation script.
Configure Cursor
Add the MCP server configuration in the Cursor settings.
Start Using
During the generation process, AI will automatically request user input.
Usage Examples
Creative WritingWhen writing a novel, AI requests to supplement character background information.
Programming AssistanceWhen writing code, AI requests to confirm function parameters.
Frequently Asked Questions
How to install the MCP server?
Does the MCP server support all operating systems?
How to adjust the timeout period?
Related Resources
Official Documentation
Learn about the detailed introduction of the Model Context Protocol.
GitHub Repository
Access the project source code and the latest version.
Installation Script
Install the MCP server with one click.
Featured MCP Services

Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.7K
5 points

Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
148
4.5 points

Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
95
4.3 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
836
4.3 points

Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
572
5 points

Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.7K
4.5 points

Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
286
4.5 points

Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
760
4.8 points