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
Maintainers
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-mcpClaude 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 18Companion 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
