NetMind ParsePro

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Listed on NetMind AI Services

Verified by MCP Review

The PDF Parser AI service, built and customized by the NetMind team, is a high-quality, robust, and cost-efficient solution for converting PDF files into specified output formats such as JSON and Markdown. It is fully MCP server–ready, allowing seamless integration with AI agents.

Components

Tools

parse_pdf: Parses a PDF file and returns the extracted content in the specified format. The tools supports both local file paths and remote URLs as input sources. It extracts the content from the PDF and formats it either as structured JSON or as a Markdown string.
- source: required: The source of the PDF file to be parsed.
- If it is a string starting with "http://" or "https://", it will be treated as a remote URL.
- Otherwise, it will be treated as a local file path (absolute path recommended, e.g. "/Users/yourname/file.pdf").
- format: the desired format for the parsed output. Supports: "json", "markdown"
- Returns the extracted content in the specified format (JSON dictionary or Markdown string).

Installation

Requires UV (Fast Python package and project manager)

If uv isn't installed.

# Using Homebrew on macOS
brew install uv

# On macOS and Linux.
curl -LsSf https://astral.sh/uv/install.sh | sh

# On Windows.
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

Environment Variables

You can obtain an API key from Netmind

NETMIND_API_TOKEN: Your Netmind API key

Cursor & Claude Desktop && Windsurf Installation

Add this tool as a mcp server by editing the Cursor/Claude/Windsurf config file.

{
  "mcpServers": {
    "parse-pdf": {
      "env": {
        "NETMIND_API_TOKEN": "XXXXXXXXXXXXXXXXXXXX"
      },
      "command": "uvx",
      "args": [
        "netmind-parse-pdf-mcp"
      ]
    }
  }
}