Gemini MCP Server

{ "_README": { "description": "Model metadata for local/self-hosted OpenAI-compatible endpoints (Custom provider).", "documentation": "https://github.com/BeehiveInnovations/zen-mcp-server/blob/main/docs/custom_models.md", "usage": "Each entry will be advertised by the Custom provider. Aliases are case-insensitive.", "field_notes": "Matches providers/shared/model_capabilities.py.", "field_descriptions": { "model_name": "The model identifier e.g., 'llama3.2'", "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", "supports_extended_thinking": "Whether the model supports extended reasoning tokens", "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", "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": "llama3.2", "aliases": [ "local-llama", "ollama-llama" ], "context_window": 128000, "max_output_tokens": 64000, "supports_extended_thinking": false, "supports_json_mode": false, "supports_function_calling": false, "supports_images": false, "max_image_size_mb": 0.0, "description": "Local Llama 3.2 model via custom endpoint (Ollama/vLLM) - 128K context window (text-only)", "intelligence_score": 6 } ] }