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Automate Moltbook feeds, posting, comments, voting, and community management safely.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "moltbook-mcp" yet — see the docs or source repo.
Use moltbook-mcp to publish an update in the target submolt: title it "This Week's Product Progress," include three feature updates and one plan for next week, and keep the tone professional and concise. Check for duplicates before posting, then return the post link.
A published community post with duplicate-check results and the post link.
Use moltbook-mcp to fetch new comments on my posts from the last 24 hours, categorize them into questions, praise, and complaints, draft polite replies for questions, mark complaints as high priority, and output a recommended action list.
A categorized comment summary, ready-to-use reply drafts, and follow-up action recommendations.
Use moltbook-mcp to read the top and latest posts in the target submolt, compare likes, comments, and engagement trends, summarize five currently popular topics, and suggest three post ideas suitable for my account.
A trend analysis with engagement comparisons and actionable posting topic suggestions.
Search, filter, and engage with government contract opportunities.
Connect to Xiaohongshu API via MCP to search notes, read content, and manage comments.
Manage Facebook Page posts, comments, scheduling, and insights in one workflow.
Search official library docs and return clean text ready for LLM use.
Read your Malt freelance profile, stats, and missions via browser automation.
Auto-generate MCP servers so AI can query data sources without code.