Enables prompt templates specifically for Django framework code review and application development
Supports configuration for running the MCP server on Linux systems
Supports configuration for running the MCP server on macOS systems
Uses npm for dependency management and server installation
Supports prompt templates for Python code review and analysis through the RISEN framework
RISEN Prompt Engineering MCP Tool
A powerful Model Context Protocol (MCP) server that helps you create, validate, manage, and optimize prompts using the RISEN framework.
What is RISEN?
RISEN is a structured prompt engineering framework with 5 components:
Role: Define the AI's persona/expertise
Instructions: Clear directives for the task
Steps: Breakdown of the process
Expectations: Desired outcome/format
Narrowing: Constraints or creative elements
Features
🎯 Core Functionality
Template Management: Create, store, and organize RISEN prompt templates
Variable Support: Use
{{variables}}
for dynamic, reusable promptsValidation Engine: Real-time structure checking and quality rating
Performance Tracking: Monitor prompt effectiveness with ratings and analytics
AI Suggestions: Get improvement recommendations based on best practices
🚀 Advanced Features
A/B Testing: Compare different prompt variations
Cross-AI Integration: Works with your Cross-AI tool to test prompts on multiple models
Knowledge Base Integration: Save successful prompts for future reference
Natural Language Conversion: Transform regular requests into RISEN format
Template Library: Pre-built templates for common tasks
Installation
Clone or download this repository
Install dependencies:
Test the server:
The server is now ready to be configured in Claude Desktop
Configuration
Add to your Claude Desktop config file:
Windows
macOS/Linux
Replace /path/to/mcp-risen-prompts
with your actual installation path.
Usage Examples
Creating a Template
Executing a Template
Tracking Performance
MCP Tools Available
risen_create - Create new RISEN templates
risen_validate - Check structure and get suggestions
risen_execute - Run templates with variables
risen_track - Record performance metrics
risen_search - Find templates by tags/rating
risen_analyze - Get insights on template performance
risen_suggest - AI-powered improvement recommendations
risen_convert - Transform natural language to RISEN
Template Examples
Blog Post Writer
Data Analysis
Quality Rating
Templates are rated out of 100 based on:
Role specificity (20 points)
Instruction clarity (20 points)
Step detail (20 points)
Expectation metrics (20 points)
Narrowing focus (20 points)
Best Practices
Be Specific: Vague roles like "assistant" rate lower than "Senior Python developer with AWS expertise"
Use Variables: Make templates reusable with
{{variables}}
Measurable Expectations: Include numbers (word count, examples needed, etc.)
Clear Steps: Each step should be actionable and specific
Test & Iterate: Use tracking to refine templates over time
Integration with Other MCP Tools
With Cross-AI Tool
Execute the same RISEN prompt across multiple AI models:
Create/select a RISEN template
Use Cross-AI to run it on ChatGPT, Gemini, and Claude
Compare results and track which model performs best
With Knowledge Base
Save successful prompts for future reference:
Create and test a RISEN prompt
Once proven effective, save to Knowledge Base
Search and retrieve proven prompts by topic
Troubleshooting
Template not validating?
Ensure all required fields are filled
Check that steps is an array, not a string
Verify variables are properly declared
Variables not replacing?
Use exact syntax:
{{variable_name}}
Ensure variable names match in declaration and usage
Check that all variables have values when executing
Low quality ratings?
Add more detail to each component
Include specific metrics in expectations
Use domain-specific language in role
Future Roadmap
Visual template builder UI
Community template marketplace
Advanced analytics dashboard
Prompt chaining workflows
Export/import template packs
Team collaboration features
Contributing
Found a bug or have a feature request? Contributions are welcome!
License
MIT License - feel free to use and modify as needed.
This server cannot be installed
hybrid server
The server is able to function both locally and remotely, depending on the configuration or use case.
A Model Context Protocol server that helps users create, validate, manage, and optimize prompts using the RISEN framework (Role, Instructions, Steps, Expectations, Narrowing).
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