MP

MCP Prompt Server

这是一个基于Model Context Protocol (MCP)的服务器,用于根据用户任务需求提供预设的prompt模板,帮助Cline/Cursor/Windsurf...更高效地执行各种任务。服务器将预设的prompt作为工具(tools)返回,以便在Cursor和Windsurf等编辑器中更好地使用。

Created by gdli61772025/03/28
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What is MCP Prompt Server?

What is MCP Prompt Server? MCP Prompt Server is a server based on the Model Context Protocol (MCP) that provides preset prompt templates according to user task requirements, helping tools like Cline, Cursor, and Windsurf to execute various tasks more efficiently. How to use MCP Prompt Server? To use the MCP Prompt Server, install the dependencies, start the server, and connect it with editors like Cursor or Windsurf to access the preset prompt tools. Key features of MCP Prompt Server? Provides preset prompt templates for tasks like code review, API documentation generation, and code refactoring. Offers all prompt templates as MCP tools instead of MCP prompts format. Supports dynamic parameter replacement for more flexible prompt templates. Allows developers to freely add and modify prompt templates. Provides a tool API to reload prompts and query available prompts. Optimized for better integration with editors like Cursor and Windsurf. Use cases of MCP Prompt Server? Automating code reviews in development environments. Generating API documentation from code snippets. Refactoring code efficiently using predefined templates. FAQ from MCP Prompt Server? Can I add my own prompt templates? Yes! You can create new prompt templates by adding YAML or JSON files in the src/prompts directory. How do I reload the prompts? You can use the reload_prompts tool to reload all preset prompts without restarting the server. Is there an API for managing prompts? Yes! The server provides management tools like reload_prompts and get_prompt_names to manage your prompts.

As an MCP (Model Context Protocol) server, MCP Prompt Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

How to use MCP Prompt Server

To use the MCP Prompt Server, install the dependencies, start the server, and connect it with editors like Cursor or Windsurf to access the preset prompt tools. Key features of MCP Prompt Server? Provides preset prompt templates for tasks like code review, API documentation generation, and code refactoring. Offers all prompt templates as MCP tools instead of MCP prompts format. Supports dynamic parameter replacement for more flexible prompt templates. Allows developers to freely add and modify prompt templates. Provides a tool API to reload prompts and query available prompts. Optimized for better integration with editors like Cursor and Windsurf. Use cases of MCP Prompt Server? Automating code reviews in development environments. Generating API documentation from code snippets. Refactoring code efficiently using predefined templates. FAQ from MCP Prompt Server? Can I add my own prompt templates? Yes! You can create new prompt templates by adding YAML or JSON files in the src/prompts directory. How do I reload the prompts? You can use the reload_prompts tool to reload all preset prompts without restarting the server. Is there an API for managing prompts? Yes! The server provides management tools like reload_prompts and get_prompt_names to manage your prompts.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.

Use Cases for this MCP Server

  • No use cases specified.

MCP servers like MCP Prompt Server can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.

About Model Context Protocol (MCP)

The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like MCP Prompt Server provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.

Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.