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siweina/dsh-novel-writer

by Various

给网文作者的本地章节体检:16 个工具做句式/情感/风格基线分析,24MB 模型本地跑、零 API 花费、不上传正文。DSH / DeepSeek Harness 插件。Local novel-writing assistant for DSH: on-device sentence/emotion/style-baseline analysis, zero

MCP

siweina/dsh-novel-writer

Added 16 Sept 2026

#ai-writing #chinese-novel #cordis #creative-writing #deepseek-harness #dsh #dsh-plugin #dsh-plugins

Overview

A local novel-writing assistant plugin for DSH (DeepSeek Harness). It runs 16 tools for sentence, emotion, and style-baseline analysis using a 24MB on-device model, with zero API cost and no upload of manuscript text. Designed for web novel authors who want chapter-level diagnostics without sending content to external servers.

Best for

Best for
Web novel authors using DSH who want private, cost-free local style and emotion checks.

Use cases

  • Run chapter-level sentence structure and rhythm checks locally
  • Analyze emotional tone and style consistency across a manuscript
  • Get baseline style metrics without incurring token or API fees

How to use

Install

npx -y -p dsh-novel-writer dsh-novel-writer-mcp --root /你的小说库路径

Tools exposed

  • novel_books
  • novel_chapters
  • novel_read
  • novel_keywords
  • novel_new_chapter
  • novel_import
  • novel_sentence_analysis
  • novel_sentence_config
  • novel_style_check
  • novel_style_report
  • novel_plot
  • novel_settings
  • novel_summary
  • novel_continuity_check
  • novel_semantic_search
  • novel_outline

Tested with

Claude Desktop, Cursor

Notes

A local novel-writing assistant plugin for DSH (DeepSeek Harness). It runs 16 tools for sentence, emotion, and style-baseline analysis using a 24MB on-device model, with zero API cost and no upload of manuscript text. Designed for web novel authors who want chapter-level diagnostics without sending content to external servers.

16 stars on GitHub. Last updated 2026-09-16. Licensed MIT.

Use cases

  • Run chapter-level sentence structure and rhythm checks locally
  • Analyze emotional tone and style consistency across a manuscript
  • Get baseline style metrics without incurring token or API fees

Pros

  • Zero token cost and fully offline, protecting manuscript privacy
  • Lightweight 24MB model runs on-device, no external dependencies
  • 16 distinct analysis tools cover multiple writing dimensions

Cons

  • Limited to baseline analysis, not a full editing or rewriting assistant
  • Small model size may limit nuance compared to larger cloud models
  • Requires DSH (DeepSeek Harness) environment to function as a plugin

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Zero token cost and fully offline, protecting manuscript privacy
  • Lightweight 24MB model runs on-device, no external dependencies
  • 16 distinct analysis tools cover multiple writing dimensions

Cons

  • Limited to baseline analysis, not a full editing or rewriting assistant
  • Small model size may limit nuance compared to larger cloud models
  • Requires DSH (DeepSeek Harness) environment to function as a plugin

Pairs with

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