blog-generator-mcp
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TDQS
Scored across 10 tools
Most tools have clearly distinct roles: generation, status tracking, feedback, review, saving, and deployment. The main ambiguity is between standard and 'pro' variants (start_draft vs start_draft_pro, apply_feedback vs apply_feedback_pro), but they are explicitly separated by mode and input requirements.
All tools share the 'blog_' prefix and mostly follow a verb_noun pattern (start_draft, apply_feedback, get_status). Minor deviations like blog_save and blog_deploy_github omit the object or use a platform target, but the pattern remains predictable.
With 10 tools, the server is well-scoped for its purpose. Each tool maps to a distinct stage in the blog lifecycle, and the count is appropriate for a specialized generator.
The tool surface covers the full workflow: create draft, check status, apply feedback, finalize, review, apply review feedback, save locally, and deploy to GitHub. No critical operations are missing for the stated purpose.