What dependencies are required to run the server?
Python 3.10 or higher, pip, uv, and a virtual environment. All required Python packages are listed in `requirements.txt`.
@ComPDFKit
基本情報
ComIDP MCP Server is a lightweight Model Context Protocol (MCP) server designed for seamless integrating ComIDP with AI chatbots, providing unstructured document processing functionalities, such as extracting data from PDF files. The service returns results in structured plain-te
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"comidp-mcp": {
"command": "uv",
"args": [
"run",
"PATH/TO/comidp-mcp/src/virtual environment python",
"PATH/TO/comidp-mcp/src/comidp_tools.py"
],
"env": {
"IDPKEY": "your_idp_key_here"
}
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
Intelligent Document Extraction - ComIDP is a lightweight MCP server that integrates ComIDP’s intelligent document extraction capabilities with AI chatbots. It automatically extracts key information from unstructured PDF files, converts it into structured plain-text, and supports batch processing to improve document handling efficiency.
Setup requires Python 3.10+, pip, and uv. Configure Claude Desktop by editing claude_desktop_config.json with the command, arguments (pointing to the virtual environment’s Python and comidp_tools.py), and an IDPKEY environment variable. Use the data_extraction() function to process a list of PDF files or data_extraction_from_folder() to process all PDFs in a folder (with optional recursive search). Results are saved as TXT files in a specified output folder.
Python 3.10 or higher, pip, uv, and a virtual environment. All required Python packages are listed in `requirements.txt`.
Edit `claude_desktop_config.json` to add a `comidp-mcp` server entry with the command `uv`, arguments pointing to the virtual environment’s Python and `comidp_tools.py`, and the `IDPKEY` environment variable set to your API key.
Currently only PDF files are supported. Future updates will add support for JPG, PNG, and other formats.
Two functions are provided: `data_extraction(filenames, save_dir_path, key, err_msg_lang)` for a list of PDF files, and `data_extraction_from_folder(folder, save_dir_path, recursive, key, err_msg_lang)` for a folder of PDFs. They return a dictionary mapping input paths to output TXT file paths.
Yes, the project is licensed under Apache License 2.0. A trial license key is required; contact the team via the provided link to obtain one.
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