-
license-
quality-
maintenanceA Model Context Protocol server that helps users create, validate, and optimize AI prompts using the RISEN framework (Role, Instructions, Steps, Expectations, Narrowing).
72,476 servers. Updated
Search Relevance ↓
Recent Usage ↓
Date Added ↓
Date Updated ↓
Weekly Downloads ↓
GitHub Stars ↓
Recent GitHub Stars ↓
Matching MCP tools:
Matching MCP Connectors:
io.github.xpaysh
io.github.KunaniGaming
tech.novtriq
io.github.lazymac2x
"Understanding Prompts or Prompt Engineering" matching MCP servers:
- AlicenseAqualityDmaintenanceAn MCP server that uses Claude 3.5 Sonnet to transform ordinary prompts into structured, professionally engineered instructions for any LLM. It enhances AI interactions by adding context, requirements, and structural clarity to raw user inputs.13MIT
- AlicenseAqualityDmaintenanceOptimizes prompts using meta-prompting techniques through a two-turn approach that first provides optimization guidelines and then refines the prompt for enhanced quality and effectiveness.1144MIT
- FlicenseBqualityDmaintenanceA lightweight MCP server that provides a unified interface to various LLM providers including OpenAI, Anthropic, Google Gemini, Groq, DeepSeek, and Ollama.6737
- AlicenseBqualityBmaintenanceEnables hot-reloadable prompt templates with structured reasoning frameworks, quality gates, and multi-step chain workflows that can be version-controlled and executed immediately without restarts.43185MIT
- AlicenseAqualityBmaintenanceAn MCP server that exposes three tools for auditing, scaffolding, and triaging agent intent specs against a unified template, helping prevent intent failures in AI agents.3120MIT
- AlicenseAqualityCmaintenanceEnables prompt optimization loops and regression test suites for Claude Code, with a companion web UI for real-time visualization of scores and prompt revisions.19MIT
- AlicenseBqualityDmaintenanceAutomatically analyzes and optimizes AI prompts by calculating clarity scores, detecting risks, asking clarifying questions, and adding domain-specific requirements to improve AI interaction quality.1MIT
- AlicenseBqualityDmaintenanceAn MCP server that automatically optimizes AI prompts using evolutionary algorithms, helping improve prompt performance, creativity, and reliability through iterative testing and refinement.123MIT
- AlicenseCqualityDmaintenanceEnables cleaning and sanitizing prompts through an LLM-powered tool that removes sensitive information, provides structured feedback with notes and risks, and normalizes prompt formatting. Supports configurable local or remote OpenAI-compatible APIs with automatic secret redaction.41MIT
- Alicense-qualityDmaintenanceThis MCP server provides research-backed prompt optimization tools and professional domain templates designed to improve AI performance through strategies like Tree of Thoughts and Medprompt. It enables users to analyze, auto-optimize, and refine prompts using advanced reasoning patterns and safety-critical alignment techniques.24MIT
- Alicense-qualityAmaintenanceEnables AI coding agents to request user input through customizable desktop forms, returning structured data.1MIT
- Alicense-qualityCmaintenanceA deterministic prompt optimization middleware for AI coding agents that preserves intent, compresses context, and detects drift, available as an MCP server with tools for optimize_prompt, classify_prompt, and more.MIT
- AlicenseCqualityDmaintenanceA server that transforms a standard Language Model into a dynamic multi-agent system where the model simulates both a Conductor (project manager) and Experts (specialized agents) to tackle complex problems through a collaborative workflow.234Apache 2.0
- Alicense-qualityDmaintenanceOrchestrates AI agents through structured markdown documents, enabling multi-agent workflows with automatic context injection and workflow management.174MIT
- Alicense-qualityCmaintenanceTransforms prompts into Chain of Draft (CoD) or Chain of Thought (CoT) format to enhance LLM reasoning quality while reducing token usage by up to 92.4%, supporting multiple LLM providers including Claude, GPT, Ollama, and local models.1919MIT
- AlicenseBqualityDmaintenanceAn AI server that provides intelligent prompt optimization capabilities, enhancing prompts for clarity, specificity, structure, and other attributes to improve AI interactions.113MIT
- Alicense-qualityFmaintenanceEnables language-model agents to create, modify, analyze, and persist process-engineering diagrams (P\&IDs and flowsheets) in machine-readable formats via the Model Context Protocol.5MIT
- Alicense-quality-maintenanceA development platform that helps AI developers optimize prompts through intelligent context management, providing tools for analysis, optimization, and template management to reduce costs and improve AI response quality.630
- -license-quality-maintenanceA platform that transforms AI development with intelligent context management, optimization, and prompt engineering, enabling developers to enhance model performance through structured context management and optimization tools.