Sleeek MCP Server - Production Ready
About
# Sleeek MCP Server - Production Ready This MCP server provides context-aware photo assessment for SleeekApp with: - ✅ Context memory across attempts - ✅ Angle change detection - ✅ Constraint learning - ✅ Progressive feedback - ✅ Future agentic capabilities ## Quick Deploy to Railway ### 1. Push to GitHub ```bash cd…
Explore
This MCP architecture enables:
- Multi-step planning
- Cross-room optimization
- Learning from all users
- Personalized style adaptation
- Integration with other tools
1. Go to railway.app
2. Click "New Project" → "Deploy from GitHub repo"
3. Select your repo
4. Add environment variable: OPENAI_API_KEY
5. Deploy!
Railway will give you a URL like: https://sleeek-mcp.up.railway.app
This MCP server provides context-aware photo assessment for SleeekApp with:
- ✅ Context memory across attempts
- ✅ Angle change detection
- ✅ Constraint learning
- ✅ Progressive feedback
- ✅ Future agentic capabilities
Quick Deploy to Railway
1. Push to GitHub
cd ~/Desktop/sleeek-mcp-deploy
git init
git add .
git commit -m "Initial MCP server"
git branch -M main
git remote add origin YOUR_GITHUB_REPO_URL
git push -u origin main
2. Deploy to Railway
1. Go to railway.app 2. Click "New Project" → "Deploy from GitHub repo" 3. Select your repo 4. Add environment variable:OPENAI_API_KEY
5. Deploy!
Railway will give you a URL like: https://sleeek-mcp.up.railway.app
3. Update Your iOS App
InMCPClient.swift, change:
private let bridgeURL = "https://sleeek-mcp.up.railway.app"
Local Development
```bash npm install cp .env.example .envSign in to leave a review
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