Zen MCP Server

{ "_README": { "description": "Model metadata for X.AI (GROK) API access.", "documentation": "https://github.com/BeehiveInnovations/pal-mcp-server/blob/main/docs/custom_models.md", "usage": "Models listed here are exposed directly through the X.AI provider. Aliases are case-insensitive.", "field_notes": "Matches providers/shared/model_capabilities.py.", "field_descriptions": { "model_name": "The model identifier (e.g., 'grok-4', 'grok-4.1-fast')", "aliases": "Array of short names users can type instead of the full model name", "context_window": "Total number of tokens the model can process (input + output combined)", "max_output_tokens": "Maximum number of tokens the model can generate in a single response", "max_thinking_tokens": "Maximum reasoning/thinking tokens the model will allocate when extended thinking is requested", "supports_extended_thinking": "Whether the model supports extended reasoning tokens (currently none do via OpenRouter or custom APIs)", "supports_json_mode": "Whether the model can guarantee valid JSON output", "supports_function_calling": "Whether the model supports function/tool calling", "supports_images": "Whether the model can process images/visual input", "max_image_size_mb": "Maximum total size in MB for all images combined (capped at 40MB max for custom models)", "supports_temperature": "Whether the model accepts temperature parameter in API calls (set to false for O3/O4 reasoning models)", "temperature_constraint": "Type of temperature constraint: 'fixed' (fixed value), 'range' (continuous range), 'discrete' (specific values), or omit for default range", "use_openai_response_api": "Set to true when the model must use the /responses endpoint (reasoning models like GPT-5.2 Pro). Leave false/omit for standard chat completions.", "default_reasoning_effort": "Default reasoning effort level for models that support it (e.g., 'low', 'medium', 'high'). Omit if not applicable.", "description": "Human-readable description of the model", "intelligence_score": "1-20 human rating used as the primary signal for auto-mode model ordering" } }, "models": [ { "model_name": "grok-4", "friendly_name": "X.AI (Grok 4)", "aliases": [ "grok", "grok4", "grok-4" ], "intelligence_score": 16, "description": "GROK-4 (256K context) - Frontier multimodal reasoning model with advanced capabilities", "context_window": 256000, "max_output_tokens": 256000, "supports_extended_thinking": true, "supports_system_prompts": true, "supports_streaming": true, "supports_function_calling": true, "supports_json_mode": true, "supports_images": true, "supports_temperature": true, "max_image_size_mb": 20.0 }, { "model_name": "grok-4-1-fast-reasoning", "friendly_name": "X.AI (Grok 4.1 Fast Reasoning)", "aliases": [ "grok-4.1", "grok-4-1", "grok-4.1-fast-reasoning", "grok-4.1-fast-reasoning-latest", "grok-4.1-fast" ], "intelligence_score": 15, "description": "GROK-4.1 Fast Reasoning (2M context) - High-performance multimodal reasoning model with function calling", "context_window": 2000000, "max_output_tokens": 2000000, "supports_extended_thinking": true, "supports_system_prompts": true, "supports_streaming": true, "supports_function_calling": true, "supports_json_mode": true, "supports_images": true, "supports_temperature": true, "max_image_size_mb": 20.0 } ] }