P

Prompt Engineer MCP Server

An MCP server based on Claude AI for optimizing programming prompts and enhancing the usage experience in AI IDEs such as Cursor.
2.5 points
19

What is Coding Prompt Engineer?

This is a server based on the Model Context Protocol (MCP), specifically designed to optimize programming-related prompts. It utilizes Anthropic's Claude AI model to transform your simple programming requirements into well-structured and detailed prompts, enabling more accurate code generation results in AI integrated development environments such as Cursor.

How to use this service?

You can install it via npm or directly deploy it using the Smithery platform. After installation, simply send your original programming prompt and the specified language to the server, and the server will return the optimized prompt.

Applicable scenarios

Suitable for all scenarios that require AI-assisted programming, especially when you find that the code generated by AI is not accurate or complete enough. It can significantly improve the quality of code generation and is applicable to multiple programming languages such as TypeScript, Python, and Java.

Main features

Intelligent prompt optimizationUse the Claude 3 Sonnet model to analyze and rewrite your programming prompts, adding necessary context, structure, and detailed requirements
Language-aware optimizationAdjust the prompts according to the specified programming language, taking into account language-specific conventions and best practices
Seamless IDE integrationOptimized specifically for AI IDEs such as Cursor to ensure that the generated prompts can be best understood by these tools

Advantages and limitations

Advantages
Significantly improve the quality and accuracy of AI-generated code
Save time on repeatedly adjusting prompts
Support multiple mainstream programming languages
Easy to integrate into existing development workflows
Limitations
Requires an Anthropic API key (free to apply for)
Limited optimization for very specialized domain knowledge
May require manual secondary adjustment when handling complex requirements

How to use

Install the service
Install via npm or deploy with one click using the Smithery platform
Set the API key
Obtain and set the Anthropic API key to use the Claude AI service
Start the server
Run the server to prepare to receive prompt optimization requests
Send an optimization request
Send a JSON request containing the original prompt and the target language to the server

Usage examples

Temperature conversion functionOptimize a simple temperature conversion requirement into a detailed TypeScript function generation prompt
Sorting an array of objectsOptimize the general requirement of sorting an array of objects into a specific implementation prompt

Frequently Asked Questions

Do I need to pay to use this service?
Which programming languages are supported?
Can the optimized prompts be used directly?
What is the response time?

Related resources

Anthropic API documentation
Official documentation for the Claude API
Cursor official website
An AI-driven integrated development environment
MCP protocol description
Official documentation for the Model Context Protocol
GitHub repository
Source code repository for this project
Installation
Copy the following command to your Client for configuration
{
  "mcpServers": {
    "cursor-prompt-engineer": {
      "command": "npx",
      "args": [
        "-y",
        "cursor-prompt-engineer"
      ]
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.
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