# PDF Forms

> Use this tool when you need to streamline PDF form processing workflows and enhance document analysis capabilities. It provides core functionality for finding, extracting, and visualizing form field information from PDF documents, solving problems such as manual form data entry and inefficient document processing. With inputs of PDF files and directories, and outputs of extracted form field information and visualizations, it is ideal for use cases involving large-scale PDF form analysis and automation.

Canonical page: https://skillsregistry.net/skills/wildebeest-pdf-forms  
JSON: https://api.skillsregistry.net/v1/skills/wildebeest-pdf-forms

## Description

MCP PDF Forms is a toolkit for PDF form manipulation built with MCP and PyMuPDF. It provides tools for finding PDF files across directories, extracting form field information, and visualizing form fields in PDF documents. The implementation is designed to streamline PDF form processing workflows and enhance document analysis capabilities.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/wildebeest-pdf-forms)
- **Repository:** <https://github.com/wildebeest/mcp_pdf_forms>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "wildebeest-pdf-forms"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/wildebeest-pdf-forms` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/wildebeest-pdf-forms/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt