F
licenseNot graded
qualityB
maintenanceExposes Google AI Studio models (Gemini, Imagen, Veo) as MCP tools for text generation, image generation, and video generation, integrating with code editors and LLM clients.
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Okareo MCP Server
Officialby okareo-ai
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Patronus MCP Serverofficial
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TDQS
A3.7/5.0
Scored across 51 tools
Disambiguation4/5
Most tools are clearly distinct by resource and action, with only a few potentially confusing pairs like run_test vs run_simulation or register_generation_model vs create_or_update_target with a 'generation' type. Detailed descriptions and distinct parameters largely resolve ambiguity, so an informed agent can reliably select the right tool.
Naming Consistency4/5
The set predominantly follows a verb_noun pattern (list_, get_, create_or_update_, delete_) with consistent snake_case. Minor deviations exist, such as save_scenario/save_dashboard instead of create_, register_generation_model instead of create_generation_model, and longer phrases like get_voice_webhook_url, which keep it from being perfectly uniform.
Tool Count2/5
At 51 tools, the server is well beyond the 25+ threshold considered too many for a single MCP server. While the broad scope of the Okareo platform explains the abundance, the sheer size will overwhelm agents and make tool selection and discovery unnecessarily difficult.
Completeness3/5
The server covers a wide range of resources with robust CRUD support, but there are notable gaps: there is no delete_driver tool, and no way to delete test runs. The driver lifecycle in particular is incomplete, which is a significant omission for an otherwise comprehensive platform surface.
Maintenance
ActivityMaintained
ResponsivenessNo issues