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draftmason-edit-mcp

v0.1.0

Published

MCP server for manuscript editing and analysis — developmental editing, pacing analysis, consistency checking, character arc tracking, and prose-level line editing for fiction and nonfiction

Readme

draftmason-edit-mcp

MCP server for manuscript editing and analysis — developmental editing, pacing analysis, consistency checking, character arc tracking, and prose-level line editing.

Built for fiction and nonfiction authors, editors, and writing coaches. Companion to draftmason-write-mcp for a complete AI-assisted writing and editing workflow.

Tools

developmental_edit

Run a high-level developmental edit on a chapter or scene. Analyzes and scores:

  • Structure — scene flow, transitions, narrative arc position
  • Character — dialogue balance, show-vs-tell ratio, emotional depth
  • Pacing — sentence rhythm, chapter length, tension appropriateness
  • Theme — vocabulary diversity, genre-specific thematic guidance
  • Dialogue — tag usage, adverb-tag combinations, voice differentiation

Returns priority revisions ranked by severity.

analyze_pacing

Map the tension curve of a chapter segment by segment. Detects:

  • Slow openings that lose readers
  • Saggy midpoints where engagement drops
  • Relentless intensity without breathing room
  • Weak chapter endings that don't pull forward

Each segment is scored 1-10 for tension with dominant mode (action, dialogue, introspection, narration).

check_consistency

Detect inconsistencies across a manuscript passage:

  • Pronoun ambiguity — multiple characters of same gender with unclear "he"/"she"
  • Tense shifts — mixed past/present tense usage
  • Word repetition — overused words that flatten prose
  • Character tracking — mention counts and presence mapping
  • Timeline markers — extracted time references for continuity checking

analyze_character

Deep analysis of a specific character within a passage:

  • Arc type classification (transformation, steadfast, flat, mirror, corruption)
  • Growth stage detection (rising-conflict, dark-moment, transformation, resolution)
  • Voice markers from dialogue patterns
  • Relationship map with other characters
  • Development indicators and recommendations

line_edit

Prose-level analysis with quantified metrics:

  • Average sentence length and variety score
  • Passive voice percentage
  • Adverb density per 1,000 words
  • Readability grade (Flesch-Kincaid)
  • Show-vs-tell ratio
  • Sentence opener repetition detection

Returns specific examples and fix recommendations for each issue.

list_editing_tools

List all available editing tools and their descriptions.

Installation

npx draftmason-edit-mcp

Claude Desktop

Add to claude_desktop_config.json:

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

Usage Example

Use the developmental_edit tool to analyze this chapter:

[paste chapter text]

Genre: thriller
Chapter: 3 of 18

Companion Tools

  • draftmason-write-mcp — Book outline generation, prose writing, tone transformation, genre-specific guidance
  • DraftMason — Full AI book writing platform with rich editor, PDF/ePub/DOCX export, and KDP formatting

License

MIT