novel-mcp
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- AlicenseAqualityAmaintenanceEnables AI hosts to plan, draft, and check long-form novel chapters while honoring canon settings, character state, arcs, and check ordering, with approval-gated atomic commits. It keeps world, character, and chapter files as the human-editable source of truth, with snapshots and rollback for recovery.271,543 npmApache 2.0
- AlicenseNot gradedqualityAmaintenanceEnables AI-driven long-form novel creation and management, including chapter generation, character and timeline tracking, semantic memory retrieval, version savepoints, and deep consistency checking across multiple projects through MCP tools, with support for local LM Studio or any OpenAI-compatible API.14MIT
- AlicenseNot gradedqualityBmaintenanceEnables long-form web novel writing workflows by ingesting chapters into a state database, running deterministic consistency checks, querying entity histories, replaying extraction results, and retrieving conflict reports via MCP tools.MIT
- AlicenseNot gradedqualityCmaintenanceExposes 30+ novel-writing tools over stdio or HTTP so external agents such as Claude Code or WorkBuddy can use their own models and API keys to read chapters, write prose, manage characters, foreshadowing, story arcs and worldbuilding, run local semantic search, and launch review sub-agents. Supports one-click enabling with configurable port, token, and approval mode.AGPL 3.0
- AlicenseNot gradedqualityBmaintenanceEnables reading work outlines, contexts, and chapters, and saving chapters with version protection for an AI novel writing tool.MIT
- AlicenseCqualityDmaintenanceProvides local desktop agents with durable project memory and safety gates for writing long novels, enabling continuity management, chapter drafting, and state-aware handoffs.312MIT
TDQS
Scored across 8 tools
Each tool targets a distinct action in the novel project workflow: validation, context building, draft generation, external submission, review, inspection, approval, and status. No overlapping purposes.
All tool names follow the verb_noun pattern in snake_case (e.g., validate_project, generate_draft, approve_run), providing clear and predictable naming.
With 8 tools, the set is well-scoped for a novel writing assistant, covering the essential workflow stages without excess or deficiency.
Core CRUD-like operations are present: create (build_context), update (submit_draft, approve_run), read (project_status, inspect_run), delete is absent but not critical. Minor gap: no tool to list all runs or chapters, but the workflow is coherent.