# NetMind ParsePro

> Use this tool when you need to extract data from PDF files and convert it into a structured format. It solves problems related to PDF data extraction, providing outputs in JSON or Markdown format from inputs of local PDF file paths or URLs. Ideal for use cases requiring automated data extraction from PDFs, such as document processing and data integration workflows.

Canonical page: https://skillsregistry.net/skills/protagolabs-netmind-parse-pdf-mcp  
JSON: https://api.skillsregistry.net/v1/skills/protagolabs-netmind-parse-pdf-mcp

## Description

Enables parsing PDF files from local paths or URLs into structured JSON or Markdown format using NetMind's AI-powered PDF extraction service.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-05-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mggamost3m)
- **Repository:** <https://github.com/protagolabs/Netmind-Parse-PDF-MCP>

## 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": "protagolabs-netmind-parse-pdf-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/protagolabs-netmind-parse-pdf-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/protagolabs-netmind-parse-pdf-mcp/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
