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.
   
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🌟 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).
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🚀 Quick Start
Step 1: Install the MCP Package
# Install the cloud-connected version (recommended)
npm install -g mcp-prompt-optimizerStep 2: Get Your API Key
- Visit promptoptimizer.xyz/pricing
- Choose your tier (Free tier includes 20 optimizations/month, no credit card required).
- API keys follow the format:
sk-opt-,sk-team-, orsk-local-*.
Step 3: Configure Your MCP Client
Add to ~/.claude/claude_desktop_config.json (Claude Desktop): ``json { "mcpServers": { "prompt-optimizer": { "command": "npx", "args": ["mcp-prompt-optimizer"], "env": { "OPTIMIZER_API_KEY": "sk-opt-your-key-here" } } } } ``
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🧠 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.
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🤖 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.
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🛠️ Available MCP Tools
| Tool | Description | |---|---| | optimize_prompt | Transform prompts with professional techniques & Bayesian tuning. | | detect_ai_context | Automatically detect intent (Code, Image, Research, etc.). | | search_templates | Browse your history and reusable optimization patterns. | | get_quota_status | Monitor your real-time usage and subscription limits. | | get_ce_quota_status | Check Context Engineer credits and workflow availability. |
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🎨 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.
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🎛️ 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.
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💰 Subscription Plans
| Plan | Price | Optimizations/mo | Features | |---|---|---|---| | Free | $0/mo | 20 | Validate fit, no credit card required | | Pro | $19/mo | 500 | Full model config, Context Engineering | | Enterprise | Custom | Custom | Team features, shared quotas |
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🔒 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-localfor 100% on-device processing.
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📞 Support & Resources
- Documentation: promptoptimizer.xyz/documentation
- Dashboard: promptoptimizer.xyz/dashboard
- Email: support@promptoptimizer.help
--- Transforming AI interactions through professional prompt engineering.
