@orchyn/mcp
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- AlicenseNot gradedqualityBmaintenanceEnables AI assistants to draft, schedule, and publish social media content, generate AI text and image variations, analyze performance, and automate social workflows.MIT
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TDQS
Scored across 27 tools
Most tools have explicit cross-references that separate discovery, fetching, analysis, and creation, which helps an agent choose correctly. However, analyze_post and understand_social_post overlap heavily in inputs, platforms, credit cost, and output focus, and the many analyze/discover/creator tools still require careful reading to avoid misselection.
The overwhelming majority follow a clear snake_case verb_noun pattern like get_user_posts, analyze_comments, and write_hooks. Minor deviations such as analyze_post_fast, niche_report, and orchyn_login break the pattern slightly but remain readable and predictable.
27 tools is on the heavy side, and some sub-areas like post analysis, creator research, and content generation could be consolidated. The broad scope across eight social platforms and the paid-credit workflow partly justifies the count, so it feels bloated but not chaotic.
The domain is well covered: discovery, media/transcript/comment retrieval, multi-level analysis, content creation, creator watchlists, and credit/auth management are all present. Minor gaps exist, such as no direct way to list watched creators or fetch a creator's raw profile stats without triggering analysis, but agents can work around them.