draftmason-format-mcp

MCP server for manuscript formatting and self-publishing preparation — KDP specifications, trim size calculations, chapter structure validation, page estimates, and pre-publishing checklists.

Built for self-publishing authors preparing manuscripts for Kindle Direct Publishing (KDP), Apple Books, Kobo, and other platforms. Part of the DraftMason AI book writing suite.

Tools

get_kdp_specs

Get complete KDP specifications for your book based on genre and word count:

• Recommended trim size and alternatives
• Font recommendations by genre
• Interior margin specifications
• Page count and spine width estimates
• Cover dimensions with bleed
• Pricing guidance with minimum list price

validate_chapters

Validate your chapter structure against genre conventions:

• Total word count vs genre benchmarks
• Chapter length consistency analysis
• Identifies too-short or too-long chapters
• First/last chapter balance checks
• Actionable restructuring recommendations

get_publishing_checklist

Complete pre-publishing checklist for fiction or nonfiction:

• Front matter requirements (title page, copyright, TOC, etc.)
• Back matter items (about author, also-by, review request, email list)
• Metadata optimization tips (title, description, categories, keywords)
• Pre-publish verification steps

estimate_pages

Quick page count estimation from word count:

• Pages for any trim size and font size combination
• Spine width for white and cream paper
• Full cover dimensions with bleed calculations

list_trim_sizes

Browse all KDP-supported trim sizes with genre recommendations.

Installation

npx draftmason-format-mcp

Claude Desktop

{
  "mcpServers": {
    "draftmason-format": {
      "command": "npx",
      "args": ["-y", "draftmason-format-mcp"]
    }
  }
}

Companion Tools

• draftmason-write-mcp — Book outline generation, prose writing, tone transformation
• draftmason-edit-mcp — Developmental editing, pacing analysis, consistency checking, line editing
• DraftMason — Full AI book writing platform

License

MIT