Gemini MCP Server

{ "_README": { "description": "Model metadata for native OpenAI API access.", "documentation": "https://github.com/BeehiveInnovations/zen-mcp-server/blob/main/docs/custom_models.md", "usage": "Models listed here are exposed directly through the OpenAI provider. Aliases are case-insensitive.", "field_notes": "Matches providers/shared/model_capabilities.py.", "field_descriptions": { "model_name": "The model identifier (e.g., 'gpt-5', 'o3-pro')", "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 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", "allow_code_generation": "Whether this model can generate and suggest fully working code - complete with functions, files, and detailed implementation instructions - for your AI tool to use right away. Only set this to 'true' for a model more capable than the AI model / CLI you're currently using." } }, "models": [ { "model_name": "gpt-5", "friendly_name": "OpenAI (GPT-5)", "aliases": [ "gpt5", "gpt-5" ], "intelligence_score": 16, "description": "GPT-5 (400K context, 128K output) - Advanced model with reasoning support", "context_window": 400000, "max_output_tokens": 128000, "supports_extended_thinking": true, "supports_system_prompts": true, "supports_streaming": false, "supports_function_calling": true, "supports_json_mode": true, "supports_images": true, "supports_temperature": true, "max_image_size_mb": 20.0, "temperature_constraint": "fixed" }, { "model_name": "gpt-5-pro", "friendly_name": "OpenAI (GPT-5 Pro)", "aliases": [ "gpt5pro", "gpt5-pro" ], "intelligence_score": 18, "description": "GPT-5 Pro (400K context, 272K output) - Very advanced, reasoning model", "context_window": 400000, "max_output_tokens": 272000, "supports_extended_thinking": true, "supports_system_prompts": true, "supports_streaming": false, "supports_function_calling": true, "supports_json_mode": true, "supports_images": true, "supports_temperature": true, "max_image_size_mb": 20.0, "use_openai_response_api": true, "default_reasoning_effort": "high", "allow_code_generation": true, "temperature_constraint": "fixed" }, { "model_name": "gpt-5-mini", "friendly_name": "OpenAI (GPT-5-mini)", "aliases": [ "gpt5-mini", "gpt5mini", "mini" ], "intelligence_score": 15, "description": "GPT-5-mini (400K context, 128K output) - Efficient variant with reasoning support", "context_window": 400000, "max_output_tokens": 128000, "supports_extended_thinking": true, "supports_system_prompts": true, "supports_streaming": false, "supports_function_calling": true, "supports_json_mode": true, "supports_images": true, "supports_temperature": true, "max_image_size_mb": 20.0, "temperature_constraint": "fixed" }, { "model_name": "gpt-5-nano", "friendly_name": "OpenAI (GPT-5 nano)", "aliases": [ "gpt5nano", "gpt5-nano", "nano" ], "intelligence_score": 13, "description": "GPT-5 nano (400K context) - Fastest, cheapest version of GPT-5 for summarization and classification tasks", "context_window": 400000, "max_output_tokens": 128000, "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, "temperature_constraint": "fixed" }, { "model_name": "o3", "friendly_name": "OpenAI (O3)", "intelligence_score": 14, "description": "Strong reasoning (200K context) - Logical problems, code generation, systematic analysis", "context_window": 200000, "max_output_tokens": 65536, "supports_extended_thinking": false, "supports_system_prompts": true, "supports_streaming": true, "supports_function_calling": true, "supports_json_mode": true, "supports_images": true, "supports_temperature": false, "max_image_size_mb": 20.0, "temperature_constraint": "fixed" }, { "model_name": "o3-mini", "friendly_name": "OpenAI (O3-mini)", "aliases": [ "o3mini" ], "intelligence_score": 12, "description": "Fast O3 variant (200K context) - Balanced performance/speed, moderate complexity", "context_window": 200000, "max_output_tokens": 65536, "supports_extended_thinking": false, "supports_system_prompts": true, "supports_streaming": true, "supports_function_calling": true, "supports_json_mode": true, "supports_images": true, "supports_temperature": false, "max_image_size_mb": 20.0, "temperature_constraint": "fixed" }, { "model_name": "o3-pro", "friendly_name": "OpenAI (O3-Pro)", "aliases": [ "o3pro" ], "intelligence_score": 15, "description": "Professional-grade reasoning with advanced capabilities (200K context)", "context_window": 200000, "max_output_tokens": 65536, "supports_extended_thinking": false, "supports_system_prompts": true, "supports_streaming": true, "supports_function_calling": true, "supports_json_mode": true, "supports_images": true, "supports_temperature": false, "max_image_size_mb": 20.0, "use_openai_response_api": true, "temperature_constraint": "fixed" }, { "model_name": "o4-mini", "friendly_name": "OpenAI (O4-mini)", "aliases": [ "o4mini" ], "intelligence_score": 11, "description": "Latest reasoning model (200K context) - Optimized for shorter contexts, rapid reasoning", "context_window": 200000, "supports_extended_thinking": false, "supports_system_prompts": true, "supports_streaming": true, "supports_function_calling": true, "supports_json_mode": true, "supports_images": true, "supports_temperature": false, "max_image_size_mb": 20.0, "temperature_constraint": "fixed" }, { "model_name": "gpt-4.1", "friendly_name": "OpenAI (GPT 4.1)", "aliases": [ "gpt4.1" ], "intelligence_score": 13, "description": "GPT-4.1 (1M context) - Advanced reasoning model with large context window", "context_window": 1000000, "max_output_tokens": 32768, "supports_extended_thinking": false, "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": "gpt-5-codex", "friendly_name": "OpenAI (GPT-5 Codex)", "aliases": [ "gpt5-codex", "codex", "gpt-5-code", "gpt5-code" ], "intelligence_score": 17, "description": "GPT-5 Codex (400K context) Specialized for coding, refactoring, and software architecture.", "context_window": 400000, "max_output_tokens": 128000, "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, "use_openai_response_api": true } ] }