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RISEN Prompt Engineering MCP Tool

by Futuretechaiguy
GitHub
JavaScript
MIT License
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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 prompts

  • Validation 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

  1. Clone or download this repository

  2. Install dependencies:

npm install

  1. Test the server:

npm test

  1. The server is now ready to be configured in Claude Desktop

Configuration

Add to your Claude Desktop config file:

Windows

{ "mcpServers": { "risen-prompts": { "command": "node", "args": ["/path/to/mcp-risen-prompts/server.js"], "cwd": "/path/to/mcp-risen-prompts" } } }

macOS/Linux

{ "mcpServers": { "risen-prompts": { "command": "node", "args": ["/path/to/mcp-risen-prompts/server.js"], "cwd": "/path/to/mcp-risen-prompts" } } }

Replace /path/to/mcp-risen-prompts with your actual installation path.

Usage Examples

Creating a Template

Use risen_create to make a new template: - Name: "Code Review" - Role: "Senior software engineer with 15+ years experience" - Instructions: "Review the provided code for quality and security" - Steps: ["Analyze structure", "Check for bugs", "Suggest improvements"] - Expectations: "Detailed line-by-line feedback with examples" - Narrowing: "Focus on critical issues first"

Executing a Template

Use risen_execute with variables: - Template ID: [your-template-id] - Variables: {"language": "Python", "framework": "Django"}

Tracking Performance

After using a prompt, track its effectiveness: - Use risen_track - Rate 1-5 stars - Add notes about what worked/didn't work

MCP Tools Available

  1. risen_create - Create new RISEN templates

  2. risen_validate - Check structure and get suggestions

  3. risen_execute - Run templates with variables

  4. risen_track - Record performance metrics

  5. risen_search - Find templates by tags/rating

  6. risen_analyze - Get insights on template performance

  7. risen_suggest - AI-powered improvement recommendations

  8. risen_convert - Transform natural language to RISEN

Template Examples

Blog Post Writer

Role: Content strategist and SEO expert Instructions: Write an engaging blog post about {{topic}} Steps: 1. Research keywords and trends 2. Create compelling headline 3. Develop main points with examples 4. Include statistics and sources 5. Write conclusion with CTA Expectations: 1500-2000 words, SEO-optimized, engaging tone Narrowing: Use conversational tone, include 3-5 keywords naturally

Data Analysis

Role: Data scientist specializing in {{domain}} Instructions: Analyze {{dataset}} to uncover insights Steps: 1. Perform exploratory data analysis 2. Identify key trends and patterns 3. Run statistical tests 4. Create visualizations 5. Provide recommendations Expectations: Clear insights with statistical backing Narrowing: Focus on {{specific_metrics}} and business impact

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

  1. Be Specific: Vague roles like "assistant" rate lower than "Senior Python developer with AWS expertise"

  2. Use Variables: Make templates reusable with {{variables}}

  3. Measurable Expectations: Include numbers (word count, examples needed, etc.)

  4. Clear Steps: Each step should be actionable and specific

  5. 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:

  1. Create/select a RISEN template

  2. Use Cross-AI to run it on ChatGPT, Gemini, and Claude

  3. Compare results and track which model performs best

With Knowledge Base

Save successful prompts for future reference:

  1. Create and test a RISEN prompt

  2. Once proven effective, save to Knowledge Base

  3. 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

-
security - not tested
A
license - permissive license
-
quality - not tested

How are these scores calculated?

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).

  1. What is RISEN?
    1. Features
      1. 🎯 Core Functionality
      2. 🚀 Advanced Features
    2. Installation
      1. Configuration
        1. Windows
        2. macOS/Linux
      2. Usage Examples
        1. Creating a Template
        2. Executing a Template
        3. Tracking Performance
      3. MCP Tools Available
        1. Template Examples
          1. Blog Post Writer
          2. Data Analysis
        2. Quality Rating
          1. Best Practices
            1. Integration with Other MCP Tools
              1. With Cross-AI Tool
              2. With Knowledge Base
            2. Troubleshooting
              1. Future Roadmap
                1. Contributing
                  1. License

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