Intelligent Document Extraction - ComIDP
About
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
Details
- Author
- ComPDFKit
- Downloads
- 400
- Categories
- Other, AI
Jump to
- Extracts key information from PDF files.
- Returns structured plain-text results in TXT format.
- Supports batch processing of multiple files or folders.
- Designed for seamless integration with AI chatbots.
- Requires an IDPKEY API key for authentication.
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Intelligent Document Extraction - ComIDPCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
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.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"intelligent document extraction - comidp": {
"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"
}
}
}
}
}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"
}
}
}Intelligent Document Extraction - ComIDP
Supported Feature: Intelligent Document Extraction
ComIDP Intelligent Document Extraction automatically extracts key information from your uploaded unstructured documents, like PDF, converts it into structured data, and supports batch processing to significantly improve document handling efficiency. In the future, we will support more document formats (e.g., JPG, PNG etc.) and integrate with other ComIDP tools for advanced processingWhat is ComIDP MCP Server
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-text format, enabling downstream processing or archival.License
This project is licensed under the Apache License 2.0. Please contact us for a trial license key.ComIDP MCP Server for Claude Desktop
Setup
1. Dependencies: - Ensure you have the following dependencies installed: - Python 3.10 or higher - pip (Python package installer) - uv ``bash
pip install uv
`
- Create a virtual environment and install the required packages:
- Windows:
`bash
cd comidp-mcp\\src
python -m venv .venv
.venv\\Scripts\\activate
pip install -r requirements.txt
`
- Linux / MacOS:
`bash
cd comidp-mcp/src
python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
`
2. Configure Claude Desktop
To configure the integration with Claude Desktop, you need to edit the claude_desktop_config.json file.
If the file does not already exist, you can create and open it directly from Claude Desktop by following these steps:
1. Open Claude Desktop.
2. Click the Claude icon in the top-left corner of the window.
3. Navigate to File → Settings → Developer → Edit Config.
This will automatically open (or create) the claude_desktop_config.json file in your system's default editor.
Once the file is open, you can add your configuration for the comidp-mcp tool as needed.
Then you can add a comidp-mcp server configuration in mcpServers section of the file. Here is an example configuration:
`json
{
"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"
}
}
}
}
`
- Note:
1. The virtual environment python path should point to the Python executable in your virtual environment. It should look like
- For Windows C:\\path\\to\\comidp-mcp\\.venv\\Scripts\\python.exe.
- For Linux/MacOS /path/to/comidp-mcp/.venv/bin/python.
2. All paths should be absolute paths.
3. Replace your_idp_key_here with your actual IDPKEY API key.
3. Restart Claude Desktop.
API Reference
Data extraction
`python
def data_extraction(filenames: list, save_dir_path: str = "output", key: str = "", err_msg_lang: str = "en") -> Dict[str, str]:
"""
Extract data from PDF files and save to TXT files in the specified folder.
Params:
filenames: A list of PDF file paths.
save_dir_path: Folder where the result TXT files will be saved.
key: The API key for IDPKEY. Required on the first call.
err_msg_lang: Optional language code for error messages (e.g., 'zh' or 'en'). Defaults to 'en'.
Returns:
A dictionary mapping each input file path to its corresponding output TXT file path.
If an error occurs, the value will be an error message.
"""
def data_extraction_from_folder(folder: str, save_dir_path: str, recursive: bool = False, key: str = "", err_msg_lang: str = "en") -> Dict[str, str]:
"""
Extract data from PDF files in a folder and save to TXT files in the specified folder.
Params:
folder: Path to the folder containing PDF files.
save_dir_path: Path to the folder where the result files will be saved.
key: The API key for IDPKEY. Required on the first call.
recursive: If true, recursively search subdirectories for PDF files.
err_msg_lang: Optional language code for error messages (e.g., 'zh' or 'en'). Defaults to 'en'.
Returns:
A dictionary mapping each input file path to its corresponding output TXT file path.
If an error occurs, the value will be an error message.
"""
``
Support
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