Scrivener MCP by Writerslogic is a free MCP server tool that enhances Scrivener 3 writing projects with AI capabilities. Built with TypeScript and Node.js, it integrates with .scriv folders, offering over 60 callable tools for writers and content creators. It provides AI assistance for document management, writing analysis, and content enhancement. The tool supports stdio transport and connects with various MCP-compatible AI clients like Claude Desktop and VS Code. This platform is designed to boost productivity for authors and content teams.

What does Scrivener MCP connect to?

Scrivener MCP connects directly to Scrivener 3 writing projects, specifically interacting with .scriv folders or bundles. Operating as an MCP server, it extends the capabilities of these projects by providing AI assistance. Its primary function is to serve as a bridge between Scrivener's project structure and AI clients, supporting various functions related to productivity, writing, and content creation. This integration allows for advanced AI-driven analysis and generation within existing Scrivener environments.

Core features and tools

The tool exposes over 60 callable tools for diverse writing needs. Key functionalities include document management with open_project and read_document, writing analysis via get_word_counts and get_synopsis, and content enhancement using write_synopsis and append_to_document. It also supports offline semantic search with search_with_context and character/plot tracking through find_all_mentions. Safety features include checking Scrivener's user.lock and creating Scrivener-native snapshots before modifications.

Who is it for?

Scrivener MCP serves a broad audience, including novelists, screenwriters, authors, and researchers. Content teams, technical writers, marketing teams, and ghostwriters can also benefit from its capabilities. Publishing operations will find value in its structured approach to content creation and analysis. It is designed for anyone working with Scrivener 3 who seeks AI assistance for project management, content review, and drafting. This is not the right fit if you do not use Scrivener 3 for your writing projects.

How to get started

The server authenticates using an API key passed as an environment variable, or credentials from the host process for core features. AI-powered functions discover API keys for Anthropic, OpenAI, or OpenRouter from environment variables like ANTHROPIC_API_KEY.

Use cases

• Brainstorming and outlining: Ask the AI to read a novel's binder and brainstorm synopses for chapters lacking them.
• Reviewing and editing: Prompt the AI to assess chapter pacing or search for consistent mentions of character details.
• Drafting new content: Have the AI read a chapter synopsis and then assist in drafting an opening scene.

Scrivener MCP provides effective AI assistance for Scrivener 3 projects, offering many tools for writers and content teams. Its integration with existing Scrivener workflows, combined with a strong safety model, makes it a valuable addition for enhancing productivity. The tool supports various AI clients and offers flexible API key discovery for advanced features.