A
licenseNot graded
qualityC
maintenanceEnables AI agents to access 140+ NVIDIA NIM models for chat, embeddings, reranking, vision, image generation, OCR, and content safety via stdio.
87 npm
MIT
nvidia-nim-mcp
by david-eve-za
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TDQS
B3.3/5.0
Scored across 11 tools
Disambiguation4/5
The tools are mostly distinct, with clear purposes for embeddings, reranking, image generation, and listing models. Minor overlap exists among chat_completion, text_generation, and function_calling (all text generation) and between analyze_image and multimodal_task, but descriptions clarify their different modes.
Naming Consistency3/5
All names use snake_case, but they mix verb-first patterns (create_embeddings, list_models) with noun-first patterns (chat_completion, text_generation) and gerunds (function_calling). This is readable but not fully consistent.
Tool Count5/5
11 tools is well-scoped for the NVIDIA NIM domain, covering language, embedding, reranking, vision, and image generation. Each tool fills a specific niche without feeling excessive or thin.
Completeness4/5
The surface covers the main NIM inference workflows: chat, text generation, embeddings, reranking, function calling, vision, and image generation. Minor gaps such as streaming or fine-tuning exist, but they are not core to the server's apparent purpose.
Maintenance
ActivitySlowing
ResponsivenessNo issues