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# Troubleshooting Common issues and solutions for Ludus FastMCP. ## Connection Issues ### Cannot Connect to Ludus Server **Symptoms:** - "Connection refused" error - "Cannot connect to Ludus server" message - Timeout errors **Solutions:** 1. Verify the Ludus server URL is correct: ```bash echo $LUDUS_API_URL ``` 2. Test connectivity directly: ```bash curl -k $LUDUS_API_URL ``` 3. Check if VPN connection is required and active 4. Verify firewall allows connection to Ludus port (typically 8080) 5. Confirm Ludus server is running: ```bash # On Ludus server systemctl status ludus ``` ### Authentication Failed **Symptoms:** - "Authentication failed" error - 401 Unauthorized response - "Invalid API key" message **Solutions:** 1. Regenerate API key on Ludus server: ```bash ludus user apikey ``` 2. Verify key format is `username.key-value`: ```bash echo $LUDUS_API_KEY # Should output: username.abc123def456... ``` 3. Check for whitespace in configuration: - Remove leading/trailing spaces from API key - Ensure no line breaks in environment variables 4. Verify key in MCP client config matches exactly ### SSL Certificate Errors **Symptoms:** - SSL verification failed - Certificate errors - HTTPS connection issues **Solutions:** 1. For self-signed certificates (default for most Ludus installations): ```bash export LUDUS_SSL_VERIFY=false ``` 2. Add to MCP client configuration: ```json { "env": { "LUDUS_SSL_VERIFY": "false" } } ``` 3. For production with valid certificates: ```bash export LUDUS_SSL_VERIFY=true ``` ## MCP Client Issues ### Tools Not Appearing in AI Client **Symptoms:** - AI assistant does not recognize Ludus commands - No tools available message - MCP server not connected **Solutions:** 1. Verify server works independently: ```bash ludus-fastmcp --list-tools # Should show 157 tools ``` 2. Check MCP client configuration: - Verify JSON syntax is valid - Ensure command path is correct - Confirm environment variables are set 3. Use full path to executable if needed: ```json { "command": "/home/user/.local/bin/ludus-fastmcp" } ``` 4. Restart AI client completely: - Claude Desktop: Quit application and reopen (not just close window) - VS Code: Developer > Reload Window 5. Reinstall if necessary: ```bash pipx reinstall ludus-fastmcp ``` ### Wrong Python Version **Symptoms:** - Import errors - Syntax errors - Module not found **Solutions:** 1. Verify Python version: ```bash python --version # Must be 3.11 or higher ``` 2. Use specific Python version with pipx: ```bash pipx install --python python3.11 git+https://github.com/tjnull/ludus-mcp-python.git ``` ## Deployment Issues ### Deployment Stuck or Failing **Symptoms:** - Deployment not progressing - Repeated failures in logs - Timeout waiting for VMs **Solutions:** 1. Check deployment status: ``` Show deployment status ``` 2. View deployment logs: ``` Show deployment logs ``` 3. Abort and retry: ``` Abort the current deployment ``` 4. Resume with specific tags: ``` Resume deployment with tags user,domain ``` ### Active Directory Services Not Ready **Symptoms:** - "Active Directory Web Services not running" error - Domain join failures - DNS resolution issues **Solutions:** 1. This is typically a transient error during DC initialization 2. Wait 5-10 minutes for AD services to start 3. Check VM power state: ``` Show my range status ``` 4. Ludus automatically retries failed tasks ### Template Not Found **Symptoms:** - "Template not found" error - VM creation fails - Invalid template name **Solutions:** 1. List available templates: ``` List available templates ``` 2. Verify template name spelling (case-sensitive) 3. Check if template is built: ``` Show template status ``` ### Insufficient Resources **Symptoms:** - "Out of memory" errors - VM creation fails - Storage full messages **Solutions:** 1. Use minimal resource profile: ``` Deploy ad-basic with minimal resources ``` 2. Power off unused ranges: ``` Power off all VMs in my range ``` 3. Delete unused ranges: ``` Delete old test ranges ``` 4. Check Proxmox dashboard for resource usage ## Server Issues ### Daemon Not Starting **Symptoms:** - Daemon command returns error - PID file issues - Port already in use **Solutions:** 1. Check if already running: ```bash ludus-fastmcp --status ``` 2. Stop existing daemon: ```bash ludus-fastmcp --stop-daemon ``` 3. Remove stale PID file if necessary: ```bash rm ~/.ludus-fastmcp/ludus-fastmcp.pid ``` 4. Check logs for errors: ```bash cat ~/.ludus-fastmcp/ludus-fastmcp.log ``` ### Rate Limit Exceeded **Symptoms:** - "Rate limit exceeded" error - 429 response code - Requests being blocked **Solutions:** 1. Wait 30-60 seconds before retrying 2. Reduce request frequency 3. Check for duplicate requests in automation ## Permission Issues ### Permission Denied **Symptoms:** - 403 Forbidden response - "Permission denied" error - Admin-only operation failed **Solutions:** 1. Verify your user has required permissions: ``` Show my user information ``` 2. Some operations require admin privileges: - User management - System-wide template operations - Viewing other users' ranges 3. Contact Ludus administrator for elevated access ## Diagnostic Commands ### Check Server Health ```bash # Verify installation ludus-fastmcp --version # List tools ludus-fastmcp --list-tools # Verbose startup ludus-fastmcp --verbose ``` ### Check Environment ```bash # Verify environment variables env | grep LUDUS # Test API directly curl -k -H "X-API-KEY: $LUDUS_API_KEY" $LUDUS_API_URL/ ``` ### Check Logs ```bash # Daemon logs tail -f ~/.ludus-fastmcp/ludus-fastmcp.log # Filter for errors grep ERROR ~/.ludus-fastmcp/ludus-fastmcp.log ``` ### Health Check Tool Use the built-in health check: ``` Run a health check on Ludus connection ``` Returns: - Server status - API connectivity - Response latency - Rate limiter status ## ludus-ai Client Issues ### LLM Connection Failed **Symptoms:** - Cannot connect to local LLM - Ollama not responding - Model not found **Solutions:** 1. Verify Ollama is running: ```bash curl http://localhost:11434/api/tags ``` 2. Check model is installed: ```bash ollama list ``` 3. Reconfigure LLM settings: ```bash ludus-ai setup-llm ``` ### Tool Execution Timeout **Symptoms:** - Tool calls timing out - Long-running operations failing **Solutions:** 1. Increase timeout for complex operations 2. Check network connectivity to Ludus server 3. Verify server is not overloaded ## Getting Help If issues persist: 1. Enable debug logging: ```bash export LOG_LEVEL=DEBUG ludus-fastmcp --verbose ``` 2. Collect diagnostic information: - Python version - Ludus FastMCP version - Error messages - Relevant log output 3. Report issues: - [GitHub Issues](https://github.com/tjnull/ludus-mcp-python/issues) - Include steps to reproduce - Include diagnostic output ## Related Documentation - [Getting Started](getting-started.md) - Installation and setup - [Configuration](configuration.md) - Environment and client configuration - [Safety](safety.md) - Safety features and best practices

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