OpenRouter MCP Multimodal Server
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Scored across 7 tools
Most tools have distinct purposes targeting different resources or actions, such as analyzing audio vs. images vs. chat completions. However, 'mcp_openrouter_analyze_image' and 'mcp_openrouter_multi_image_analysis' could cause some confusion as both handle image analysis, though the multi-image variant is specialized for batch processing.
The naming is mixed: some tools use a consistent 'mcp_openrouter_' prefix for multimodal functions (e.g., 'mcp_openrouter_analyze_audio'), while others like 'get_model_info' and 'search_models' follow a simpler verb_noun pattern without the prefix. This inconsistency reduces predictability but remains readable.
With 7 tools, the count is well-scoped for a multimodal server focused on model interactions and analysis. It covers key areas like model management, chat, and various media analyses without being overwhelming or too sparse.
The toolset provides solid coverage for OpenRouter's multimodal capabilities, including model search/info, chat, and audio/image analysis. A minor gap is the lack of tools for video analysis or other media types, but core workflows are well-supported.