Skip to main content
Glama

Gemini MCP Server

mock_helpers.pyโ€ข1.46 kB
"""Helper functions for test mocking.""" from unittest.mock import Mock from providers.shared import ModelCapabilities, ProviderType, RangeTemperatureConstraint def create_mock_provider(model_name="gemini-2.5-flash", context_window=1_048_576): """Create a properly configured mock provider.""" mock_provider = Mock() # Set up capabilities mock_capabilities = ModelCapabilities( provider=ProviderType.GOOGLE, model_name=model_name, friendly_name="Gemini", context_window=context_window, max_output_tokens=8192, supports_extended_thinking=False, supports_system_prompts=True, supports_streaming=True, supports_function_calling=True, temperature_constraint=RangeTemperatureConstraint(0.0, 2.0, 0.7), ) mock_provider.get_capabilities.return_value = mock_capabilities mock_provider.get_provider_type.return_value = ProviderType.GOOGLE mock_provider.validate_model_name.return_value = True # Set up generate_content response mock_response = Mock() mock_response.content = "Test response" mock_response.usage = {"input_tokens": 10, "output_tokens": 20} mock_response.model_name = model_name mock_response.friendly_name = "Gemini" mock_response.provider = ProviderType.GOOGLE mock_response.metadata = {"finish_reason": "STOP"} mock_provider.generate_content.return_value = mock_response return mock_provider

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/BeehiveInnovations/gemini-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server