juejin-mcp-server
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TDQS
Scored across 34 tools
Many tools have overlapping purposes: analyze_pin_trends, analyze_trends, get_simple_trends, and get_hot_topics all focus on trends; get_recommendations, get_article_recommendations, get_pin_recommendations, get_trending_recommendations, and get_simple_recommendations are difficult to distinguish. An agent would struggle to select the right tool for a given request.
All tool names follow a verb_noun pattern in snake_case, which is consistent. However, the verbs are sometimes vague or repeated across many tools (e.g., get_, analyze_), making names less informative than they could be, but the style itself is uniform.
With 34 tools, the server is heavy. Many tools appear to be variations of similar functionality (e.g., five recommendation tools, four trend analysis tools, five performance tools), which inflates the count without adding distinct value. A more consolidated set would be easier to navigate.
The server covers reading, searching, liking, collecting, following, and user profile, which are core interactions. However, it lacks single-item retrieval (e.g., get_article, get_pin), and does not support creating/updating content or commenting, leaving notable gaps for a platform like Juejin. The performance and system stats tools seem out of place, further muddying the domain.