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# Scrivener Bridge MCP
A standalone Model Context Protocol (MCP) server that provides direct, read-only access to a live Scrivener project (`.scriv`), combined with an indirect writing workflow via an Inbox folder.
## Features
- Parse Scrivener's internal `.scrivx` XML file to extract the Binder hierarchy.
- Convert internal `.rtf` files into clean, readable text for AI context.
- Write drafted scenes or notes to a designated Staging Inbox for safe drag-and-drop importing.
## Setup
1. Clone or download this repository.
2. Install dependencies: `pip install -r requirements.txt`
3. Add the server to your AI platform's MCP configuration.
## Tools Provided
- `get_binder_tree(scriv_path)`: Returns the structure of the Scrivener project.
- `read_scene(scriv_path, scene_uuid)`: Reads and converts the text of a specific scene.
- `write_to_inbox(inbox_path, filename, content)`: Saves a markdown file to the author's staging folder.
Connection Info
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