Pollinations Think MCP Server

# 🚀 Deploying Pollinations Think MCP to Smithery.ai ## 🌟 Why Deploy to Smithery.ai? Deploying your MCP server to Smithery.ai resolves common local network connectivity issues: ### 🔧 **Problems Solved** - ❌ **TLS Connection Failures**: Local firewalls and proxies blocking HTTPS connections - ❌ **Corporate Network Restrictions**: Strict egress rules preventing API access - ❌ **DNS Resolution Issues**: Local DNS configuration problems - ❌ **Certificate Trust Issues**: Missing or outdated root certificates - ❌ **Network Timeouts**: Unstable local internet connections ### ✅ **Cloud Benefits** - 🌐 **Reliable Network Access**: Direct, unrestricted internet connectivity - 🔒 **Managed TLS**: Automatic certificate management and trust store updates - ⚡ **High Availability**: 99.9% uptime with automatic failover - 📈 **Auto-scaling**: Handles varying workloads automatically - 🛡️ **Security**: Enterprise-grade security and DDoS protection - 🌍 **Global Access**: Available from anywhere in the world ## 📋 Prerequisites 1. **Smithery.ai Account**: Sign up at [smithery.ai](https://smithery.ai) 2. **Git Repository**: Your MCP server code in a Git repository 3. **Node.js 18+**: Ensure your project uses Node.js 18 or higher ## 🚀 Deployment Steps ### 1. **Prepare Your Repository** Ensure your repository contains: - ✅ `smithery.yaml` (already created) - ✅ `package.json` with proper dependencies - ✅ `index.js` with environment variable support ### 2. **Configure Smithery.ai** 1. **Login to Smithery.ai**: ```bash # Install Smithery CLI (if available) npm install -g @smithery/cli smithery login ``` 2. **Initialize Project**: ```bash smithery init ``` 3. **Deploy**: ```bash smithery deploy ``` ### 3. **Alternative: Web Interface Deployment** 1. Go to [smithery.ai](https://smithery.ai) 2. Click "New Project" or "Deploy MCP" 3. Connect your Git repository 4. Smithery.ai will automatically detect the `smithery.yaml` configuration 5. Configure environment variables (optional) 6. Click "Deploy" ## ⚙️ Configuration Options The `smithery.yaml` file supports these configuration options: ```yaml exampleConfig: debugMode: false # Enable debug logging maxRetries: 2 # API retry attempts apiTimeout: 600000 # API timeout (10 minutes) defaultModel: "deepseek-reasoning" # Default AI model searchModel: "searchgpt" # Search model ``` ### 🔧 **Environment Variables** You can override any setting using environment variables: | Variable | Description | Default | |----------|-------------|----------| | `DEBUG_MODE` | Enable debug logging | `false` | | `MAX_RETRIES` | Maximum API retries | `2` | | `API_TIMEOUT` | API timeout in milliseconds | `600000` | | `DEFAULT_MODEL` | Default AI model | `deepseek-reasoning` | | `SEARCH_MODEL` | Search model | `searchgpt` | | `BASE_URL` | Pollinations API base URL | `https://text.pollinations.ai` | | `MAX_CYCLES` | Maximum thinking cycles | `5` | | `CONVERGENCE_THRESHOLD` | Analysis convergence threshold | `0.85` | | `BASE_BACKOFF_MS` | Retry backoff time | `100` | ## 🔍 Monitoring and Troubleshooting ### **Health Checks** The deployment includes automatic health checks: - **Endpoint**: `/health` (if implemented) - **Interval**: 30 seconds in production - **Timeout**: 10 seconds - **Retries**: 3 attempts ### **Logs Access** ```bash # View real-time logs smithery logs --follow # View recent logs smithery logs --tail 100 ``` ### **Common Issues** 1. **Deployment Fails**: - Check `smithery.yaml` syntax - Verify Node.js version compatibility - Ensure all dependencies are in `package.json` 2. **Runtime Errors**: - Check environment variable configuration - Review application logs - Verify API endpoints are accessible 3. **Performance Issues**: - Increase memory allocation in `smithery.yaml` - Adjust API timeout settings - Enable auto-scaling ## 🔄 Updating Your Deployment ### **Automatic Updates** Smithery.ai can automatically deploy when you push to your main branch: 1. Enable auto-deployment in Smithery.ai dashboard 2. Push changes to your repository 3. Smithery.ai will automatically build and deploy ### **Manual Updates** ```bash # Deploy latest changes smithery deploy # Deploy specific version/tag smithery deploy --tag v2.0.0 ``` ## 🛡️ Security Best Practices 1. **Environment Variables**: Store sensitive data in Smithery.ai's secure environment variables 2. **Access Control**: Use Smithery.ai's access control features 3. **Network Security**: The deployment automatically configures secure egress rules 4. **Regular Updates**: Keep dependencies updated for security patches ## 📊 Scaling and Performance ### **Auto-scaling Configuration** ```yaml # In smithery.yaml scaling: minInstances: 1 maxInstances: 10 targetCPU: 70 targetMemory: 80 ``` ### **Performance Optimization** - **Memory**: Start with 512MB, increase if needed - **Timeout**: 30 minutes for complex reasoning tasks - **Retries**: 2-3 retries for API resilience ## 🆘 Support - **Smithery.ai Documentation**: [docs.smithery.ai](https://docs.smithery.ai) - **Community Support**: Smithery.ai Discord/Forum - **Issue Tracking**: Use your repository's issue tracker ## 🎯 Next Steps 1. **Deploy to Smithery.ai** using the steps above 2. **Test connectivity** - the network issues should be resolved 3. **Configure monitoring** and alerts 4. **Set up auto-deployment** for continuous delivery 5. **Scale as needed** based on usage patterns --- 🎉 **Congratulations!** Your MCP server is now running in the cloud with reliable network connectivity and enterprise-grade infrastructure.