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Sumanshu Arora

troubleshooting.mdβ€’9.79 kB
# Troubleshooting Guide **Common issues and solutions for MCP Template Platform deployments and development.** ## Quick Diagnostics ### Check System Status ```bash # Verify MCP Template Platform installation mcpt --version # Check Docker status docker --version docker info # List all deployments mcpt list # Check deployment health mcpt status ``` ### Basic Health Check ```bash # Test a simple deployment mcpt deploy demo --config debug=true # Verify tools are discovered mcpt> tools demo # Check logs for errors mcpt logs demo --tail 50 ``` ## Common Issues ### Installation Problems #### 1. Python Package Installation Fails **Symptoms:** ``` ERROR: Could not build wheels for mcp-templates ``` **Solutions:** ```bash # Update pip and build tools pip install --upgrade pip setuptools wheel # Install with verbose output pip install -v mcp-templates # Use conda if pip fails conda install -c conda-forge mcp-templates ``` #### 2. Docker Connection Issues **Symptoms:** ``` ERROR: Cannot connect to Docker daemon ``` **Solutions:** ```bash # Start Docker service sudo systemctl start docker # Add user to docker group sudo usermod -aG docker $USER newgrp docker # Verify Docker works docker run hello-world ``` ### Deployment Issues #### 1. Template Not Found **Symptoms:** ``` ERROR: Template 'my-template' not found ``` **Solutions:** ```bash # List available templates mcpt list # Check templates directory ls -la templates/ # Validate template structure mcpt create --help # Create missing template mcpt create my-template ``` #### 2. Container Fails to Start **Symptoms:** ``` ERROR: Container exited with code 1 ``` **Diagnostics:** ```bash # Check container logs mcpt logs deployment-name # Inspect container docker logs mcp-deployment-name # Check image exists docker images | grep mcp # Test image directly docker run -it mcp/template:latest /bin/bash ``` **Solutions:** ```bash # Force image pull mcpt deploy template --force-pull # Check configuration mcpt config template # Use debug mode mcpt deploy template --config debug=true ``` #### 3. Port Conflicts **Symptoms:** ``` ERROR: Port 8080 already in use ``` **Solutions:** ```bash # Find what's using the port sudo netstat -tulpn | grep 8080 # Use different port mcpt deploy template --port 8081 # Stop conflicting service sudo systemctl stop service-on-port-8080 ``` ### Tool Discovery Issues #### 1. No Tools Discovered **Symptoms:** ``` No tools found in deployment ``` **Diagnostics:** ```bash # Test MCP protocol directly mcpt> tools --image template:latest # Check container logs mcpt logs deployment --filter "tool\|mcp" # Verify MCP server is running docker exec -it mcp-deployment python -c "import sys; print(sys.version)" ``` **Solutions:** ```bash # Update to latest image mcpt deploy template --force-pull # Check template configuration mcpt config template # Test with stdio transport mcpt connect template --transport stdio ``` #### 2. Partial Tool Discovery **Symptoms:** ``` Only 3 of 10 tools discovered ``` **Solutions:** ```bash # Increase discovery timeout mcpt> tools --image template # Check for tool initialization errors mcpt logs deployment --filter "error\|exception" # Restart deployment mcpt deploy template --force-recreate ``` ### Configuration Issues #### 1. Environment Variables Not Set **Symptoms:** ``` Missing required configuration: API_KEY ``` **Solutions:** ```bash # Check current configuration mcpt config template # Set environment variable export MCP_API_KEY="your-key-here" # Use config file echo '{"api_key": "your-key"}' > config.json mcpt deploy template --config-file config.json # Pass inline configuration mcpt deploy template --config api_key=your-key ``` #### 2. Configuration Validation Fails **Symptoms:** ``` ERROR: Invalid configuration schema ``` **Solutions:** ```bash # Validate configuration file python -m json.tool config.json # Check template schema mcpt config template --show-schema # Use minimal configuration mcpt deploy template --config debug=true ``` ### Performance Issues #### 1. Slow Tool Discovery **Symptoms:** - Discovery takes >30 seconds - Timeouts during tool enumeration **Solutions:** ```bash # Increase timeouts mcpt> tools --image template # Use HTTP transport instead of stdio mcpt deploy template --transport http # Check container resources docker stats mcp-deployment ``` #### 2. High Memory Usage **Symptoms:** - Container using excessive memory - Out of memory errors **Solutions:** ```bash # Set memory limits mcpt deploy template --memory 512m # Check for memory leaks mcpt logs deployment --filter "memory\|oom" # Monitor resource usage mcpt status deployment --watch ``` ### Network Issues #### 1. Connection Refused **Symptoms:** ``` Connection refused to localhost:8080 ``` **Solutions:** ```bash # Check if port is mapped docker port mcp-deployment # Verify container is running mcpt status deployment # Test network connectivity docker exec mcp-deployment curl http://localhost:8080/health # Use stdio transport instead mcpt connect deployment --transport stdio ``` #### 2. DNS Resolution Issues **Symptoms:** ``` Could not resolve hostname ``` **Solutions:** ```bash # Use IP address instead of hostname mcpt deploy template --config host=127.0.0.1 # Check Docker DNS docker exec mcp-deployment nslookup google.com # Restart Docker daemon sudo systemctl restart docker ``` ## Development Issues ### Template Development #### 1. Template Validation Fails **Symptoms:** ``` ERROR: Invalid template.json format ``` **Solutions:** ```bash # Validate JSON syntax python -m json.tool templates/my-template/template.json # Check required fields mcpt create --help # Use template wizard mcpt create my-template ``` #### 2. Docker Build Fails **Symptoms:** ``` ERROR: Build failed for template ``` **Solutions:** ```bash # Build manually to see errors cd templates/my-template docker build -t my-template . # Check Dockerfile syntax docker build --no-cache -t my-template . # Use smaller base image # Change FROM python:3.11 to FROM python:3.11-slim ``` ### Testing Issues #### 1. Tests Not Running **Symptoms:** ``` No tests found for template ``` **Solutions:** ```bash # Check test directory exists ls -la templates/my-template/tests/ # Create test structure mkdir -p templates/my-template/tests touch templates/my-template/tests/test_server.py # Run tests manually cd templates/my-template python -m pytest tests/ ``` ## Advanced Diagnostics ### Debug Mode Enable comprehensive debugging: ```bash # Set debug environment export MCP_LOG_LEVEL=DEBUG export MCP_DEBUG=true # Deploy with debug configuration mcpt deploy template --config debug=true log_level=DEBUG # Monitor debug logs mcpt logs deployment --follow --filter "DEBUG" ``` ### Container Inspection Deep dive into container issues: ```bash # Get container information docker inspect mcp-deployment # Access container shell docker exec -it mcp-deployment /bin/bash # Check process tree docker exec mcp-deployment ps aux # Monitor container stats docker stats mcp-deployment --no-stream ``` ### MCP Protocol Debugging Test MCP protocol directly: ```bash # Test stdio communication echo '{"jsonrpc":"2.0","id":1,"method":"tools/list","params":{}}' | \ docker exec -i mcp-deployment python server.py # Test HTTP endpoint curl -X POST http://localhost:8080/mcp \ -H "Content-Type: application/json" \ -d '{"jsonrpc":"2.0","id":1,"method":"tools/list","params":{}}' # Monitor MCP messages mcpt connect deployment --debug ``` ## Getting Help ### Self-Service Resources 1. **Check Documentation** - [CLI Reference](../cli/index.md) - [Template Creation Guide](creating-templates.md) - [Tool Discovery Documentation](../tool-discovery.md) 2. **Search Common Issues** ```bash # Search logs for error patterns mcpt logs deployment | grep -i error # Check GitHub issues # Visit: https://github.com/data-everything/mcp-server-templates/issues ``` 3. **Community Resources** - GitHub Discussions - Discord Community - Stack Overflow (tag: mcp-templates) ### Professional Support For production environments: - **Enterprise Support**: Contact support@dataeverything.ai - **Custom Templates**: Professional template development services - **Training**: Team training and workshops available ### Reporting Issues When reporting issues, include: 1. **System Information** ```bash mcpt --version docker --version python --version uname -a ``` 2. **Error Details** ```bash # Full error logs mcpt logs deployment --since 1h # Configuration mcpt config deployment # Status information mcpt status deployment --detailed ``` 3. **Steps to Reproduce** - Exact commands used - Template configuration - Expected vs actual behavior ## Prevention Best Practices ### Regular Maintenance ```bash # Update MCP Template Platform pip install --upgrade mcp-templates # Clean up old containers docker system prune -f # Check deployment health mcpt status --health-only ``` ### Monitoring Setup ```bash # Set up health checks mcpt status --watch --refresh 60 > health.log & # Monitor resource usage docker stats --format "table {{.Container}}\t{{.CPUPerc}}\t{{.MemUsage}}" \ $(docker ps --filter "name=mcp-" --format "{{.Names}}") ``` ### Configuration Management ```bash # Backup configurations mkdir -p ~/.mcp/backups cp -r ~/.mcp/config ~/.mcp/backups/config-$(date +%Y%m%d) # Version control templates cd templates/ git init git add . git commit -m "Initial template configuration" ``` By following this troubleshooting guide, most common issues can be resolved quickly. For complex problems, don't hesitate to seek community or professional support.

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