Qwen Video Understanding MCP Server
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Reka Vision MCP Serverofficial
AlicenseAqualityDmaintenanceEnables AI agents to upload, index, search, and analyze videos through the Reka Vision API, supporting natural language search, visual question answering, and extraction of transcripts and captions.1746 PyPI1Apache 2.0
TDQS
Scored across 8 tools
Most tools have distinct purposes (e.g., analyze_video vs. summarize_video), but some overlap exists: analyze_video and video_qa both handle video Q&A, and extract_video_text could be seen as a subset of analyze_video's capabilities. The descriptions help differentiate, but agents might still misselect between closely related tools.
Tools follow a consistent verb_noun pattern (e.g., analyze_image, check_endpoint_status, list_capabilities), with only minor deviations: compare_video_frames uses 'compare' instead of 'analyze' or 'extract', but it's still readable and fits the pattern. Overall, the naming is predictable and clear.
With 8 tools, the count is well-scoped for a video understanding server. Each tool serves a specific function (e.g., analysis, summarization, text extraction), and there are no redundant or trivial additions. This number allows comprehensive coverage without being overwhelming.
The toolset covers core video understanding tasks well: analysis, summarization, Q&A, text extraction, and comparison. Minor gaps exist, such as no explicit tool for video editing or metadata retrieval, but agents can work around these with the provided tools. The domain is adequately covered for most use cases.