Prompt Optimizer: The Universal AI Architect & Scaffolding Platform

🚀 Enterprise-grade, MCP-native platform designed to transform AI development workflows through professional prompt engineering, agentic scaffolding, and cloud-powered optimization.

🌟 The Four-Tier Ecosystem

Prompt Optimizer is more than just a server; it's a complete ecosystem for high-performance AI interaction.

1. ☁️ Cloud Pro (v3.7.5)

The flagship MCP server. Routes complex prompts through a sophisticated LLM rewriting pipeline with Bayesian tuning and AG-UI real-time streaming. Includes team collaboration and shared quotas.

2. 🔒 Local Core (v4.1.2)

A privacy-first, 100% offline version. Uses a library of 120+ domain-specific rules and platform-specific binaries for zero-latency, secure optimization on your own machine.

3. 🖥️ Web Dashboard

The command center at promptoptimizer.xyz. Manage API keys, configure Personal Model Choice (via OpenRouter), track analytics, and run A/B evaluations.

4. ⚡ Prompt Optimizer Skill (MIT, zero-friction)

A free Claude Code Skill distilling this platform's optimization methodology into pure in-context instructions. No npm install, no API key, no license key, no external process — copy skill/SKILL.md into .claude/skills/prompt-optimizer/ and Claude Code loads it directly. A weaker sibling to Cloud Pro and Local Core (no LLM-based optimization tier, no persistent history/quota/templates, no Bayesian tuning), positioned as the zero-account entry point — see skill/LICENSE (MIT, separate from this repo's Commercial license covering the backend and MCP packages).

Related MCP server: MCP Prompt Optimizer

🚀 Quick Start

Step 1: Install the MCP Package

# Install the cloud-connected version (recommended)
npm install -g mcp-prompt-optimizer

Step 2: Get Your API Key

1. Visit promptoptimizer.xyz/pricing

2. Choose your tier (Free tier includes 20 optimizations/month, no credit card required).

3. API keys follow the format: sk-opt-*, sk-team-*, or sk-local-*.

Step 3: Configure Your MCP Client

Add to ~/.claude/claude_desktop_config.json (Claude Desktop):

{
  "mcpServers": {
    "prompt-optimizer": {
      "command": "npx",
      "args": ["mcp-prompt-optimizer"],
      "env": {
        "OPTIMIZER_API_KEY": "sk-opt-your-key-here"
      }
    }
  }
}

🧠 Intelligent Optimization Pipeline

Prompts are routed through a tiered system to ensure the highest quality based on your subscription and connectivity.

• Tier 1 — LLM Optimization (70–95% Confidence): Genuine rewriting and enrichment using advanced models (Gemini, Claude, and GPT families, configurable per your OpenRouter setup).

• Tier 2 — Backend Rules ( < 25% Confidence): Rapid rules-based pass for simple prompts or when personal models aren't configured.

• Tier 3 — Local Fallback (35–55% Confidence): Structured optimization applied locally if the backend is unreachable.

🤖 Context Engineer (CE) Suite

Available on Pro and Enterprise tiers.

Transform vague goals into production-ready agentic scaffolding directly in your IDE.

• generate_agent_sop: Generate structured Standard Operating Procedures for AI agents.

• generate_skill_package: Create a complete skill package (SOP + SKILL.md + reference + examples).

• transform_for_framework: Convert SOPs into native code for LangChain, AutoGen, or Claude Code.

🛠️ Available MCP Tools

🎨 AI Context Detection

Automatically applies specialized goals for:

• 💻 Code Generation: Technical accuracy, parameter preservation, precision.

• 🎨 Image Generation: Midjourney/DALL-E syntax, style boosters, camera settings.

• 📊 Structured Output: JSON/Schema integrity, YAML, CSV transformations.

• 💬 Human Communication: Tone adjustment, clarity, formal/informal shifts.

• 🔍 Research & Analysis: Context specificity, token efficiency, actionability.

🎛️ Personal Model Choice

Don't be locked into one model. Configure your own OpenRouter keys in the WebUI to pick from the current Claude, GPT, and Gemini model families — swap models per task without changing your integration.

💰 Subscription Plans

🔒 Security & Privacy

• Encrypted Transmission: All data is sent over TLS.

• Scoped Retention: Optimizations are saved to your own template library, encrypted at rest — never shared across users or used to train models.

• Local Option: Use mcp-prompt-optimizer-local for 100% on-device processing.

📞 Support & Resources

• Documentation: promptoptimizer.xyz/documentation

• Dashboard: promptoptimizer.xyz/dashboard

• Email: support@promptoptimizer.help

Transforming AI interactions through professional prompt engineering.