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.
rating : 2.5 points
downloads : 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
Featured MCP Services

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
141
4.5 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
830
4.3 points

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

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
88
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#
567
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

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
754
4.8 points

Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
5.2K
4.7 points