Dev.to Intelligence MCP Connector for Claude
A+Publish, manage, and deeply analyze Dev.to content with 22 tools — including proprietary intelligence modules for timing optimization, audience mapping, and content strategy.
Goal: Transform Dev.to from a simple publishing platform into a data-driven content intelligence engine for autonomous agents.
Problem: Most Dev.to integrations are thin API wrappers — search articles, publish, done. They offer no strategic insight into when to publish, what title format works best, or which adjacent communities share your audience. Content creators publish blindly, missing peak engagement windows and overlooking high-opportunity tags.
Mechanism: This server provides 22 tools organized in three tiers:
Tier 1 — Content Management (14 tools):search_articles, get_latest_articles, get_article, get_article_by_slug, get_comments, get_comment_by_id, get_tags, get_followed_tags, get_user, get_my_articles, get_my_drafts, get_reading_list, get_followers, get_podcast_episodes.
Tier 2 — Community Interaction (3 tools):publish_article creates articles with full markdown, canonical URL, and tag support. update_article modifies existing posts. toggle_reaction engages with content via likes, unicorns, or bookmarks.
Tier 3 — Proprietary Intelligence (5 tools):
analyze_engagement: Deep-dives into a single article — comment sentiment, unique commenters, engagement score, estimated reach.discover_top_authors: Ranks the most influential authors for any tag by aggregating multi-article engagement data.content_gap_analysis: Compares up to 8 tags to find high-engagement topics with low competition.publish_timing_analysis: Cross-references ~120 article timestamps with engagement metrics to find the optimal day and reading-time sweet spot.audience_crossover: Multi-hop intelligence — traces commenters across tags to map hidden audience overlaps.content_blueprint: Reverse-engineers the structural patterns (title format, reading time, tag combos) of top-performing articles.
Advantage: The intelligence tier requires 20-40 orchestrated API calls per analysis — these are composite computations that cannot be replicated with a single endpoint. The engagement-weighted algorithms, opportunity scoring, and audience tracing provide genuinely proprietary strategic output that turns raw platform data into actionable publishing decisions.
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