Gemini MCP Server
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- AlicenseAqualityCmaintenanceEnables Claude to analyze codebases, search the web, process images, and brainstorm ideas using Gemini's massive context window.97036MIT
- AlicenseAqualityCmaintenanceProvides AI-powered image and video analysis using Google Gemini and Vertex AI models through the Model Context Protocol.52378MIT
- AlicenseAqualityCmaintenanceEnables Claude and other AI assistants to generate high-quality images up to 4K resolution using Google's Gemini image models, with support for flexible aspect ratios, natural language editing, and Google Search grounding for accurate results.412MIT
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TDQS
Scored across 19 tools
Tools have largely distinct purposes, but analyze_image and describe_image are somewhat overlapping (both analyze/describe images, return text). Similarly, gemini_chat, gemini_agent, and gemini_deep_research all involve interacting with Gemini but with different scopes, which could cause confusion. Most other tools are clearly differentiated.
Naming follows two conventions: gemini_ prefix for core interactions (gemini_chat, gemini_agent, etc.) and verb_noun for task-specific tools (analyze_image, generate_image, etc.). However, there are single-word names (ocr, transcribe) and inconsistent verb forms (extract_structured_data, load_image_from_path). The pattern is not uniform.
19 tools cover a broad range of Gemini capabilities (image, video, audio, text, agent, research, etc.). While the count is slightly high, each tool serves a distinct function and the scope justifies the number. Some consolidation (e.g., merging analyze_image and describe_image) could reduce count without loss.
The toolset comprehensively covers Gemini's multimodal features: image analysis and generation, video, audio transcription, OCR, structured extraction, code generation, and autonomous agents. Minor gaps include no dedicated audio file loading tool (audio is handled via transcribe with file_path) and no deletion/update tools, but these are not essential for the server's purpose.