iflow-mcp_kiseki-labs-readwise-mcp

# Kiseki-Labs-Readwise-MCP ## Overview `Kiseki-Labs-Readwise-MCP` is a Model Context Protocol (MCP) Server designed to interact with the Readwise API. It allows language models to access and manipulate your Readwise documents and highlights programmatically. This server is developed by [Kiseki Labs](https://kisekilabs.com). ## Installation 1. **Clone the repository:** ```bash git clone <your-repository-url> cd readwise_mcp ``` 2. **Initialise dependencies with uv** *(Assuming you have [uv](https://github.com/astral-sh/uv) installed)* ```bash uv sync ``` ## Configuration This server requires a Readwise API key to function. 1. Obtain your API key from [Readwise](https://readwise.io/access_token). 2. Create a `.env` file in the root directory of the project. 3. Add your API key to the `.env` file: ```env READWISE_API_KEY=your_readwise_api_key_here ``` The server uses `python-dotenv` to automatically load this variable when run. ## Available Tools The server exposes the following tools for interaction: * `find_readwise_document_by_name(document_name: str) -> Book | None`: Finds a specific document in Readwise by its exact name. * `list_readwise_documents_by_filters(document_category: str = "", from_date: Optional[date] = None, to_date: Optional[date] = None) -> List[Book]`: Lists documents based on category (e.g., 'books', 'articles') and/or a date range. Requires at least one filter. * `get_readwise_highlights_by_document_ids(document_ids: List[int]) -> List[Highlight]`: Retrieves all highlights associated with a list of specific document IDs. * `get_readwise_highlights_by_filters(from_date: Optional[date] = None, to_date: Optional[date] = None, tag_names: List[str] = []) -> List[Highlight]`: Fetches highlights based on a date range and/or a list of tags. Requires at least one filter. *(Note: `Book` and `Highlight` refer to the data structures defined in the `readwise_mcp.types` module.)* ## Run…