MCP PDF Forms
A PDF form manipulation toolkit built with MCP and PyMuPDF.
Features
- Find PDF files across multiple directories
- Extract form field information from PDF files
- Visualize form fields in PDF documents
Installation
# Install package from PyPI
pip install mcp_pdf_forms
# Or install from source
git clone https://github.com/Wildebeest/mcp_pdf_forms.git
cd mcp_pdf_forms
pip install -e .
Command Line Tool
After installation, you can use the mcp-pdf-forms
command to start the server:
# Start the server with one or more directories to scan for PDFs
mcp-pdf-forms examples
You can also add it to Claude Code as an MCP:
claude mcp add pdf-forms mcp-pdf-forms .
Usage
Once installed, you can use the package to work with PDF forms. The package provides tools through the MCP interface.
PDF Discovery Tool
The PDF Discovery tool helps you find PDF files across specified directories.
- Input: Directory paths to search for PDFs
- Output: List of PDF files found in the specified directories
- Usage: Use this to quickly locate all PDF files in your project or specified folders
Form Field Extraction Tool
The Form Field Extraction tool extracts information about all form fields in a PDF document.
- Input: Path to a PDF file
- Output: Detailed information about each form field including field name, type, position, and other properties
- Usage: Use this to analyze form structure and understand the fields available for filling
Field Highlight Visualization Tool
The Field Highlight tool creates a visual representation of form fields in the PDF.
- Input: Path to a PDF file
- Output: Modified PDF with all form fields highlighted for easy identification
- Usage: Use this to visually inspect the layout and position of form fields in your document
Libraries Used
- MCP - Machine Conversation Protocol framework
- PyMuPDF - Python bindings for MuPDF, a high-performance PDF library
License
MIT
PDF Forms
Project Details
- Wildebeest/mcp_pdf_forms
- Last Updated: 4/14/2025
Recomended MCP Servers
A Model Content Protocol server that provides tools to search and retrieve academic papers from PubMed database.
MCP server enabling Image Generation for LLMs, built in Python and integrated with Together AI.
Pre-trained Deep Learning models and samples (high quality and extremely fast)
MCPs built using openapitools.com
MCP aggregator for batching multiple tool calls into a single request. Reduces overhead, saves tokens, and simplifies...
MCP Server for send text/markdown message via dingding (aka dingtalk) group custom robot
mcp-server-openai with o3-mini support
Simple MCP server to provide my Local Cursor with access to add items to my MongoDB todo list
AutoGen最新架构v0.4正式发布第一个稳定版本,v0.4是对AutoGen的一次从头开始的重写,目的是为构建Agent创建一个更健壮、可扩展、更易用的跨语言库,其应用接口采用分层架构设计,存在多套软件接口用以满足不同的场景需求 。