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MCP Prompt Server: Task-Specific Prompts, Instant Efficiency - MCP Implementation

MCP Prompt Server: Task-Specific Prompts, Instant Efficiency

MCP Prompt Server supercharges Cursor/Windsurf workflows with pre-configured task-specific prompts, delivering instant efficiency gains through MCP-powered, tool-ready templates.

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About MCP Prompt Server

What is MCP Prompt Server: Task-Specific Prompts, Instant Efficiency?

MCP Prompt Server is a dedicated infrastructure designed to accelerate development workflows by delivering pre-configured task-specific prompts via the Model Context Protocol (MCP). Unlike generic prompt solutions, this server acts as a centralized repository of purpose-built templates for code analysis, documentation generation, and refactoring—optimized for seamless integration with IDEs like Cursor and Windsurf.

How to use MCP Prompt Server: Task-Specific Prompts, Instant Efficiency?

Implementing MCP Prompt Server follows three core steps: install dependencies, launch the service, and invoke tools through your editor's MCP interface. Templates are accessed via structured JSON requests specifying the task name and required parameters. Dynamic argument substitution enables context-aware prompt adaptation without manual rewriting.

MCP Prompt Server Features

Key Features of MCP Prompt Server: Task-Specific Prompts, Instant Efficiency?

  • Task-Oriented Library: Pre-built templates for code review, API documentation, refactoring, test generation, and architecture analysis
  • Dynamic Parameterization: Built-in variable placeholders allow real-time context injection
  • Developer Flexibility: Extendable prompt repository with YAML/JSON format support and hot-reload capability
  • Editor Integration: MCP-compliant API ensures smooth tool discovery and execution within Cursor/Windsurf environments

Use Cases of MCP Prompt Server: Task-Specific Prompts, Instant Efficiency?

Automated Code Review

Instantly analyze JavaScript functions using pre-configured quality checks and security audits

API Documentation Generation

Generate markdown-formatted API references directly from Python code syntax

Smart Refactoring

Execute structural code improvements using version-controlled refactoring templates

MCP Prompt Server FAQ

FAQ from MCP Prompt Server: Task-Specific Prompts, Instant Efficiency?

How do I add custom prompts?

Create YAML files in the prompts directory with structured metadata and register via the reload tool

Can I track prompt usage?

Current version lacks analytics, but implementing usage logging is a top roadmap priority

Does it support version control?

Prompt versions aren't natively tracked, but file-based management integrates with Git workflows

What editors are supported?

Primarily optimized for Cursor and Windsurf, but any MCP-compliant client can connect

Content

MCP Prompt Server

English Version

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。

功能特点

  • 提供预设的prompt模板,可用于代码审查、API文档生成、代码重构等任务
  • 将所有prompt模板作为MCP工具(tools)提供,而非MCP prompts格式
  • 支持动态参数替换,使prompt模板更加灵活
  • 允许开发者自由添加和修改prompt模板
  • 提供工具API,可重新加载prompt和查询可用prompt
  • 专为Cursor和Windsurf等编辑器优化,提供更好的集成体验

目录结构

prompt-server/
├── package.json         # 项目依赖和脚本
├── src/                 # 源代码目录
│   ├── index.js         # 服务器入口文件
│   └── prompts/         # 预设prompt模板目录
│       ├── code_review.yaml
│       ├── api_documentation.yaml
│       ├── code_refactoring.yaml
│       ├── test_case_generator.yaml
│       └── project_architecture.yaml
└── README.md            # 项目说明文档

安装和使用

  1. 安装依赖:
cd prompt-server
npm install
  1. 启动服务器:
npm start

服务器将在标准输入/输出上运行,可以被Cursor、Windsurf或其他MCP客户端连接。

添加新的Prompt模板

您可以通过在src/prompts目录中添加新的YAML或JSON文件来创建新的prompt模板。每个模板文件应包含以下内容:

name: prompt_name                # 唯一标识符,用于调用此prompt
description: prompt description  # 对prompt功能的描述
arguments:                       # 参数列表(可选)
  - name: arg_name               # 参数名称
    description: arg description # 参数描述
    required: true/false         # 是否必需
messages:                        # prompt消息列表
  - role: user/assistant         # 消息角色
    content:
      type: text                 # 内容类型
      text: |                    # 文本内容,可包含参数占位符 {{arg_name}}
        Your prompt text here...

添加新文件后,服务器会在下次启动时自动加载,或者您可以使用reload_prompts工具重新加载所有prompt。

使用示例

在Cursor或Windsurf中调用代码审查工具

{
  "name": "code_review",
  "arguments": {
    "language": "javascript",
    "code": "function add(a, b) { return a + b; }"
  }
}

在Cursor或Windsurf中调用API文档生成工具

{
  "name": "api_documentation",
  "arguments": {
    "language": "python",
    "code": "def process_data(data, options=None):\n    # 处理数据\n    return result",
    "format": "markdown"
  }
}

工具API

服务器提供以下管理工具:

  • reload_prompts: 重新加载所有预设的prompts
  • get_prompt_names: 获取所有可用的prompt名称

此外,所有在src/prompts目录中定义的prompt模板都会作为工具提供给客户端。

与编辑器集成

Cursor

在Cursor中,您可以通过MCP连接到此服务器,然后通过工具面板访问所有预设的prompt工具。

Windsurf

在Windsurf中,您可以通过MCP连接到此服务器,然后通过工具面板或命令调用预设的prompt工具。

扩展建议

  1. 添加更多专业领域的prompt模板
  2. 实现prompt版本控制
  3. 添加prompt分类和标签
  4. 实现prompt使用统计和分析
  5. 添加用户反馈机制

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